data solutions architect

University of Wisconsin–Madison

<div><p><i>Current employees: if you are currently employed at any of the universities of wisconsin, log in to workday to apply through the internal application process.</i></p><p></p><p>
Job category:</p>
Academic Staff<p></p><p>
Employment type:</p>
Regular<p></p><p>
Job profile:</p>
Technical Integration Eng III<p></p><p>
Job summary:</p><div>
<div>
<p>The Wisconsin Health Data Hub (WHDH), funded by the U.S. Economic Development Administration (EDA), is developing a secure, cloud-native data platform designed to deliver high-quality real-world data to support biomedical research, advanced analytics, and AI-driven discovery.</p>
<p></p>
</div><div><p>The Data Solutions Architect provides senior technical leadership responsible for designing, implementing, and governing the architecture of WHDH&rsquo;s data platform. This role ensures the secure, scalable integration, storage, and analysis of complex clinical and research data assets across a cloud-based environment. The position supports advanced analytics, machine learning, and federated research capabilities while maintaining compliance with HIPAA and institutional data governance standards.</p>
<p></p>
</div><div><p>Working closely with data engineers, AI specialists, security analyst, and governance leaders, the Data Solutions Architect will translate research and operational requirements into scalable data architecture solutions that support WHDH&rsquo;s long-term platform strategy.</p>
<p></p>
</div><div><p>Key Responsibilities:
</p></div><p></p><div><p>Data Architecture and Platform Design</p></div>
<div><ul>
<li>Design and implement the architectural framework supporting WHDH&rsquo;s secure, cloud-native data platform.
</li><li>Develop scalable architectures for ingesting, harmonizing, storing, and delivering structured and unstructured health data.
</li><li>Establish data models, metadata frameworks, and integration architectures that support advanced research workflows.
</li><li>Design high-performance analytics capabilities enabling AI, machine learning, and large-scale data analysis.</li>
</ul></div>
<p></p><div><p>Data Integration and Interoperability</p></div>
<div>
<ul><li>Architect secure data pipelines for ingestion and transformation of multi-source clinical and research datasets.
</li><li>Enable interoperable data exchange across contributing health systems and research institutions.</li>
<li>Implement scalable services supporting federated queries, distributed analytics, and secure data sharing.
</li></ul></div><p></p><div><p>Data Governance and Security</p></div>
<div><ul>
<li>Ensure compliance with HIPAA, institutional governance policies, and research data security standards.
</li><li>Establish architectural best practices related to data governance, reproducibility, and responsible use of sensitive health data.</li>
<li>Design solutions that support secure access control, auditing, and governance across the WHDH data ecosystem.</li>
</ul></div>
</div><p></p><div><div><p>Platform Innovation and Strategy</p>
</div>
<div><ul><li>Guide the adoption of modern data platform architecture that enhance data discovery, metadata management, and scalable research workflows.
</li><li>Evaluate and implement emerging trends that improve interoperability, accessibility, and performance of WHDH data assets.</li>
<li>Develop modular, extensible platform components that enable technology transfer and sustainability beyond the grant period.</li>
</ul></div>
<p></p><div><p>Collaboration and Leadership</p>
</div>
<div><ul><li>Collaborate with cross-functional teams including data engineers, AI researchers, security analyst, and governance leaders.
</li><li>Provide leadership in defining system design patterns and platform architecture standards.
</li><li>Support multi-institutional research initiatives by enabling secure and scalable collaborative data environments.
</li></ul></div><p></p><div><p>It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. It is an expectation the finalist will have permanent residence within the State of Wisconsin. Successful applicants who do not currently live in Wisconsin must have plans to move to the State within a reasonable time from the position start date.</p>
</div>
</div><p></p><p>Key job responsibilities:</p><ul><li><p>
Develops architectural patterns that support large-scale biomedical datasets, including real-world data, clinical text, imaging, and genomic data, enabling advanced analytics, machine learning, and AI-driven research workflows within a secure cloud environment</p></li></ul><ul><li><p>
Designs and implements data architecture that enables secure ingestion, normalization, and integration of clinical, research, and operational data from multiple health system partners while ensuring compliance with HIPAA, institutional policies, and data use agreements</p></li></ul><ul><li>
Participates in the evaluation of vendor software releases, upgrade planning, and impact. Documents and communicates system enhancements or changes</li></ul><ul><li>
Integrates, identifies, troubleshoots, monitors, and resolves complex and varied supported services, systems, network, and application problems according to established processes and procedures</li></ul><ul><li>
Assists in the design of system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning</li></ul><ul><li>
Designs small components and runs, maintains, and operates technical systems and infrastructure</li></ul><ul><li>
Plans, coordinates, and executes the development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices</li></ul><ul><li><p>
Defines and implements standards for healthcare data interoperability using frameworks such as HL7 FHIR, OMOP Common Data Model, and other biomedical data models to ensure consistent, high-quality data exchange across contributing institutions and research partners</p></li></ul><ul><li>
Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations, identifies needs, provides solution options, and communicates issue updates and resolutions</li></ul><ul><li>
Plans and directs staff implementation of small to medium technical projects as needed</li></ul><ul><li><p>
Architects systems that enable privacy-preserving analytics, federated queries, and secure multi-institutional collaboration while maintaining strict data governance controls and enabling authorized researchers to discover and analyze distributed health datasets</p></li></ul><p></p><h1 class="jobSectionHeader">
Department:</h1><p>
School of Medicine and Public Health, Office of Informatics and Information Technology, Wisconsin Health Data Hub.</p><p></p><p>
This position is within the School of Medicine and Public Health&rsquo;s Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.</p><ul>
<li><p>
Informatics: We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.</p></li>
<li><p>
Technology Solutions: We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support.</p></li>
</ul><p></p><h1 class="jobSectionHeader">
Compensation:</h1><p>
The starting salary for the position is $110,000 annually, but is negotiable based on experience and qualifications.</p><p></p><div><p>
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.</p></div><p></p><h1 class="jobSectionHeader">
Required Qualifications:</h1><div><ul>
<li>At least 3 years' experience designing and implementing enterprise-scale data architectures; 5 years' preferred
</li><li>Expertise with cloud-native data platforms and distributed data solutions.</li>
<li>Experience designing secure data pipelines and large-scale data integration frameworks.
</li><li>Familiarity with healthcare or biomedical research data environments and relevant regulatory requirements.</li>
</ul></div><p></p><h1 class="jobSectionHeader">
Preferred Qualifications:</h1><div><ul>
<li>Experience with healthcare data standards and interoperability frameworks.</li>
<li>Experience supporting AI/ML and advanced analytics workloads.</li>
<li>Expertise with federated data architectures and secure multi-institutional data collaboration.
</li><li>Experience working in federally funded research programs or academic research environments.</li>
<li>Strong documentation and technical leadership skills
</li></ul></div><p></p><h1 class="jobSectionHeader">Education:</h1><ul><li>
Bachelor's degree preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred.</li></ul><p></p><h1 class="jobSectionHeader">
How to Apply:</h1><div>
<p><i>
</i>For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
</p><p></p><p>To apply for this position, select either &ldquo;I am a current employee&rdquo; or &ldquo;I am not a current employee&rdquo; under Apply Now. You will then be prompted to upload your application materials.</p>
</div><p></p><div>
<p>Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.</p>
<ul>
<li>Cover letter</li>
<li>Resume</li>
</ul>
<p></p><p>Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.</p>
</div><div>
<p></p><p>University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.</p>
<p></p>
<p>The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.</p>
</div><p></p><h1 class="jobSectionHeader">
Contact Information:</h1><div><p>
Cody Roekle, croekle@wisc.edu, 16082637676</p></div><div><p>
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.<i>
</i></p></div><p></p><p>Institutional statement on diversity:</p><p>
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.<br>
<br>
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.</p><p></p><p><br>
The University of Wisconsin-Madison is an Equal Opportunity Employer.</p><p>
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply.</p><p></p><p>
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.</p><p></p><p>
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.<br>
<br>
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).<br>
<br>
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.</p></div>

WHDH Data Solutions Architect

Draper

<div><p><b>Overview:</b></p><p>
Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.</p><p></p><p><b>
Job Description Summary:</b></p>
The Data Retrieval, Engineering, Architecture, and Management (DREAM) Group at Draper is seeking a Digital Engineering Data Solutions Architect to develop next generation Relational Cross Domain Data Digital Engineering Architecture for domains such as: strategic deterrent systems, missile defense systems, hypersonic missiles, space systems, precision guided munitions, and autonomous air/sea vehicles. Our multi-disciplinary teams innovate and develop solutions for full system development lifecycle in areas of importance for national security.
<br>
<br>
Draper has adopted an integrated, model-driven digital mindset in solving Systems Engineering problems spanning the entire lifecycle. From early-lifecycle conceptual system design and architecture, detailed modeling, model-driven customer reviews, verification and validation, integration and testing, to deployment, surveillance and performance monitoring, Draper has a suite of Digital Engineering solution needs across our projects. Our thinking spans the entire gamut, from &ldquo;as-designed&rdquo; to &ldquo;as-deployed&rdquo; lifecycle phases in supporting uncompromised delivery of solutions.
<br>
<br>
For this role, the ideal candidate will work as part of an interdisciplinary team. The candidate will support the development of digital capabilities like digital twins and digital threads, working closely with experienced engineers to learn and apply best practices.
<br>
<br>
This role provides a foundation for growing expertise in data architecture, systems engineering, and advanced computing, with opportunities to contribute to innovative solutions. Communications and interpersonal skills are highly valued in this role. The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must. Flexibility to multi-task and adapt to evolving priorities will be required. We value continuous learning and professional growth.<p></p><p><b>
Job Description:</b></p><div><b>
Duties/Responsibilities</b><br>
<ul><li>Independently execute system engineering lifecycle assignments.</li><li>Adapt appropriately to changes in program priorities and requirements.</li><li>Adheres to existing best practices and Quality Management System processes.</li><li>Continues to expand their depth/knowledge in their technical discipline through formal and informal learning.</li><li>Work within multi-disciplinary teams and independently execute assignments</li><li>Drive solutions to complex problems with limited direction</li><li>Lead small teams (few than five people) and align team towards program goals.
</li><li>Provides insight and suggests design modifications based on analysis outcomes, and to apply analysis techniques across a range of technical challenges</li><li>Identify program/system-level technical risks and develop and execute mitigation strategies.</li><li>Actively mentor less experienced engineers and provide thoughtful, constructive feedback</li><li>Performs other duties as assigned.</li></ul><br>
<b>
Skills/Abilities</b><br>
<ul><li>Highly-organized, capable of approaching problems with a system-level perspective.</li><li>Strong oral and written communication skills.</li><li>Practical experience with simulation-based performance analysis.</li><li>Practical experience with the systems engineering process.</li><li>Roles may require proficiency with modeling and simulation, computer language coding, descriptive modeling (e.g. SysML), STPA, and/or other engineering analysis tools</li><li>Knowledge of GN&amp;C, avionics architectures, fault tolerance, cyber/security, comms/encryption, threat modeling or other technologies may be required as defined in the summary.
</li></ul><br>
<b>Education</b><br>
Bachelor's degree in engineering, physics, mathematics, or related field. Masters degree or higher preferred.<br>
<br>
<b>Experience</b><br>
5-10 years experience as systems engineer or related role.<br>
<br>
<br>
</div><p></p><p><b>Additional Job Description:</b></p><p>
Desired qualifications include:</p><ul><li>
Prior Experience in Architectures frameworks, certifications are a plus</li></ul><ul><li>
Prior experience in technical leadership</li><li>
Experience with React Java libraries. Kotlin, Python</li><li>
2-4 years of experience in Digital Engineering using sound Systems Engineering principles</li></ul><ul><li>
Experience in data visualization and story boarding
</li><li>Thorough knowledge/proven experience as a DBA</li><li>
Prior experience in architecture and development of Digital twin and thread</li></ul><ul><li>
Experience in integrating various data sources and transactions</li><li>
Functional experience with Java</li><li>
Knowledge/experience with team software development (sprints, git, code reviews, pair programming)</li><li>
Support the integration and management of diverse data sources across project areas.</li><li>
Proven ability architecting DBs <b><i>AND</i></b> upgrading/improving schema of existing DBs</li><li>
Knowledge of open source Databases (postgres a must)</li><li>
Thorough knowledge/proven experience as a Database administration</li><li>
Assist in creating, analyzing, and presenting technical data, software and models to support system analysis, performance assessments, and decision-making.</li><li>
Learn to communicate technical concepts effectively to stakeholders at all levels.</li><li>
Experience with various types of data, data states, frequency, volume</li><li>
Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning, Database Administration and Data Science.
</li></ul><p></p><p>Applicants selected for this opportunity will be required to obtain and maintain a government security clearance.</p><p></p><p>
Secret Clearance is preferred.</p><p></p><p><br>
Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.</p><p></p><p><b>
Job Location - City:</b></p>
Cambridge<p></p><p><b>
Job Location - State:</b></p>
Massachusetts<p></p><p><b>
Job Location - Postal Code:</b></p>
02139-3563<p></p><p>
The US base salary range for this full-time position is</p>
$82,300.00 - $220,000.00<p><i>
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. </i><i>Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role.</i><i> </i><i>Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</i><i> </i><i>Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.</i></p><p></p><p>
Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&amp;D innovation company appeals to you, apply now www.draper.com/careers.</p><p></p><p>
Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.</p></div>

Senior Digital Engineering Data Solutions Architect

<div><p><b>Overview:</b></p><p>
Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.</p><p></p><p><b>
Job Description Summary:</b></p>
The Data Retrieval, Engineering, Architecture, and Management (DREAM) Group at Draper is seeking a Digital Engineering Data Solutions Architect to develop next generation Relational Cross Domain Data Digital Engineering Architecture for domains such as: strategic deterrent systems, missile defense systems, hypersonic missiles, space systems, precision guided munitions, and autonomous air/sea vehicles. Our multi-disciplinary teams innovate and develop solutions for full system development lifecycle in areas of importance for national security.
<br>
<br>
Draper has adopted an integrated, model-driven digital mindset in solving Systems Engineering problems spanning the entire lifecycle. From early-lifecycle conceptual system design and architecture, detailed modeling, model-driven customer reviews, verification and validation, integration and testing, to deployment, surveillance and performance monitoring, Draper has a suite of Digital Engineering solution needs across our projects. Our thinking spans the entire gamut, from &ldquo;as-designed&rdquo; to &ldquo;as-deployed&rdquo; lifecycle phases in supporting uncompromised delivery of solutions.
<br>
<br>
For this role, the ideal candidate will work as part of an interdisciplinary team. The candidate will support the development of digital capabilities like digital twins and digital threads, working closely with experienced engineers to learn and apply best practices. This role provides a foundation for growing expertise in data architecture, systems engineering, and advanced computing, with opportunities to contribute to innovative solutions. Communications and interpersonal skills are highly valued in this role. The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must. Flexibility to multi-task and adapt to evolving priorities will be required. We value continuous learning and professional growth.
<br>
<br>
The preferred qualifications for this job include:
<br>
<br>
<ul><li>An M.S. degree or higher in Aerospace, Mechanical, or Electrical Engineering, Physics, Mathematics, Computer Science, or related field
</li><li>Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning and Data Science.
</li><li>Experience with relational Ontologies, APIs, designing schemas for workflows
</li><li>Experience with various types of data, data states, frequency, volume
</li><li>Experience in managing data from interdisciplinary and various program protection levels</li></ul><p></p><p><b>
Job Description:</b></p><div><b>
Duties/Responsibilities</b><br>
<ul><li>Performs analysis approaches for a particular problem and independently execute assignments.</li><li>Independently execute system engineering lifecycle assignments; concept and architecture design, integration, testing and operation.
</li><li>Contribute high quality content for technical reports and presentations with minimal guidance</li><li>Proactively identify needs and concerns associated with design decisions and communicate them to project leadership</li><li>Contribute to the updates of best practices and processes to reflect the most up to date tools and procedures.
</li><li>Work in a collaborative multidisciplinary environment including stakeholders and external partners.</li><li>Contribute to translation of requirements into technical and architectural decisions.</li><li>Performs other duties as assigned.</li></ul><br>
<b>
Skills/Abilities</b><br>
<ul><li>Excellent mathematical skills.</li><li>Thorough understanding of engineering theories and procedures.</li><li>Ability to collaborate within a diverse and multidisciplinary team.</li><li>Excellent verbal and written communication skills.</li><li>Excellent organizational skills and attention to detail.</li><li>Excellent time management skills with the proven ability to meet deadlines.</li><li>Ability to become knowledgeable in various problem domains, identify relevant modeling and analysis techniques, and develop or integrate multi-domain qualitative models.</li><li>Ability to present results that support system-level analysis, performance trade-offs, and decision-making is critical, thus communications and interpersonal skills are highly valued in this role.</li><li>The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must.</li><li>Flexibility to multi-task and adapt to evolving priorities.</li><li>Knowledge and interest in interdisciplinary work spanning Systems Engineering, Model based Systems Engineering (MBSE), Trade Space Exploration (TSE), Machine Learning and Data Science.</li></ul><br>
<b>
Education</b><br>
Bachelor&rsquo;s degree in Aerospace, Electrical, Mechanical, or other relevant Engineering field. Master's degree preferred.<br>
<br>
<b>Experience</b><br>
<ul><li>Requires 3-5 years experience in systems analysis or related.</li><li>Experience in use of MBSE tools such as SysML, knowledge in MATLAB/Simulink.
</li><li>Experience in integrating descriptive modeling tools with other simulation tools.</li></ul></div><p></p><p><b><br>
Additional Job Description:</b></p><p>
Applicants selected for this position will be required to obtain and maintain a government security clearance.</p><p></p><p>
Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.</p><p></p><p><b>
Job Location - City:</b></p>
Cambridge<p></p><p><b>
Job Location - State:</b></p>
Massachusetts<p></p><p><b>
Job Location - Postal Code:</b></p>
02139-3563<p></p><p>
The US base salary range for this full-time position is</p>
$75,000.00 - $156,000.00<p><i>
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. </i><i>Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role.</i><i> </i><i>Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</i><i> </i><i>Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.</i></p><p></p><p>
Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&amp;D innovation company appeals to you, apply now www.draper.com/careers.</p><p></p><p>
Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.</p></div>

Digital Engineering Data Solutions Architect (MTS2)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about architecting scalable AI and data solutions alongside AWS's strategic partners? Do you have deep technical expertise in AI/ML technologies combined with the ability to guide partners in building innovative solutions for customers?<br>
<br>
Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally.<br>
<br>
Key job responsibilities<br>
Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)<br>
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment<br>
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions<br>
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns<br>
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns<br>
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases<br>
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture<br>
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps<br>
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks<br>
Support partner competency development and certification in AI/ML and data analytics domains<br>
<br>
A day in the life<br>
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.<br>
<br>
About the team<br>
The Partner Solutions Architecture team is a specialized group of technical experts who architect scalable solutions alongside Amazon's strategic partners. We serve as the bridge between AWS's capabilities and partner-built solutions that drive innovation globally. Our team operates through a structured engagement model supporting partners at multiple service levels - from dedicated annual planning with managed accounts to scaled community enablement through workshops and technical content. We measure success through design wins, partner revenue growth, API adoption, and the quality of solutions we help bring to market. Our culture values technical excellence, innovation leadership, and continuous learning as we shape how enterprises adopt transformative AI and data technologies.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>5+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics).</li><li>2+ years of technology/software sales experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li><li>Experience with data architecture, AI/ML solution design, or related technical roles</li><li>Experience architecting and implementing AI/ML solutions at scale, including experience with machine learning frameworks (TensorFlow, PyTorch, MXNet, scikit-learn) and ML platforms</li><li>AWS Certifications (Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)</li><li>Experience in a customer-facing role such as solutions architect, technical consultant, or professional services</li><li>Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale</li><li>Experience with Agentic AI Solution Framework including:</li><li>Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration)</li><li>Amazon Bedrock AgentCore implementation and AWS Strands Agents SDK</li><li>Integration with agentic frameworks (LangGraph, CrewAI, LangChain, AutoGen)</li><li>Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A)</li><li>Memory management strategies (short-term/long-term memory, session state, context management)</li><li>Tool integration and API orchestration for autonomous agent systems</li><li>Agent workflow patterns (ReAct, Chain-of-Thought, Reflexion, dynamic replanning)</li><li>Security, governance, and observability frameworks for production agent systems</li><li>Container-based agent deployment on Amazon EKS/ECS</li><li>Autonomous decision-making, contextual reasoning, and goal-oriented agent design</li><li>Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Forecast) and AWS data services (Redshift, EMR, Glue, Kinesis, Lake Formation)</li><li>Experience with generative AI, large language models, RAG architectures, and agentic AI systems</li><li>Experience architecting production-grade MLOps pipelines and data governance frameworks</li><li>Background in partner enablement, technical training, or thought leadership</li><li>Experience working with consulting partners, systems integrators, or technology partners</li><li>Publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics</li><li>Strong business acumen with ability to connect technical solutions to business outcomes</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually</div><p></p>

Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect

Infinite Lambda

<div><h2 class="jobSectionHeader"><b>Role Overview</b></h2><p></p><p>
The <b>Solutions Architect</b> role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.</p><p></p><p>
The position is titled <b>Solutions Architect</b>, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda&rsquo;s solutions meet client needs effectively.</p><p></p><p><b>
LOCATION &amp; WORK ARRANGEMENT</b></p><p>
The role is remote, but you will be expected to travel to client sites and occasionally for in-person Infinite Lambda meetings. You will be covering both South America and the US, offering flexibility to work remotely and onsite as needed.</p><p></p><p><b>
DETAILED RESPONSIBILITIES</b></p><p></p><p><b>
PROSPECTIVE CLIENT ENGAGEMENT</b></p><ul><li><p>
Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle;</p></li><li><p>
Understand and document client needs, articulating how Infinite Lambda&rsquo;s products and services can address these needs effectively;</p></li><li><p>
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations;</p></li><li><p>
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals;</p></li><li><p>
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity;</p></li><li><p>
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.</p></li></ul><p></p><p><b>
LEAD SALES ENGINEER STRATEGY</b></p><ul><li><p>
Work with departments such as Product &amp; Services, Customer Success, and Sales &amp; Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions;</p></li><li><p>
Collaborate with Product &amp; Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends;</p></li><li><p>
Enhance the positioning of Infinite Lambda&rsquo;s products and services during the sales process and beyond, improving how value is communicated to clients;</p></li><li><p>
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company&rsquo;s market positioning;</p></li><li><p>
Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness;</p></li><li><p>
Deepen subject-matter knowledge in Infinite Lambda&rsquo;s key industry verticals, ensuring a strong understanding of client needs and market dynamics.</p></li></ul><p></p><p><b>
ADDITIONAL DUTIES</b></p><ul><li><p>
Work with Infinite Lambda&rsquo;s executive team to help steer the company&rsquo;s overall strategy in a positive direction, providing insights from solutions architect perspectives.</p></li><li><p>
Represent Infinite Lambda at external conferences and events, promoting the company&rsquo;s brand, thought leadership, and expertise in data and cloud engineering.</p></li></ul><p></p><p><b>
REQUIREMENTS</b></p><ul><li><p>
Education: A Bachelor&rsquo;s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred;</p></li><li><p>
Experience: A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience;</p></li><li><p>
Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential;</p></li><li><p>
Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices;</p></li><li><p>
Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders;</p></li><li><p>
Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion;</p></li><li><p>
Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product &amp; Services, Customer Success, and Sales &amp; Partnerships;</p></li><li><p>
Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role.</p></li><li><p>
Traveling: The Solutions Architect role Requires travel at least once per month to NYC/California, Philadelphia, etc...</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
INTERVIEW PROCESS</b></h2><ul><li><p>
Intro call with TABP: 45-min</p></li><li><p>
Technical interview with Head of Engineering: 90-min</p></li><li><p>
Interview with General Manager &amp; CTO: 45-min</p></li><li><p>
Cultural Chat with CEO: 45-min</p></li></ul><p></p><p><b>
Why join Infinite Lambda</b></p><ul><li><p><b>
We support your growth</b> with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;</p></li><li><p><b>
You work autonomously here</b> in a wholesome environment and get as much paid holiday as you need;</p></li><li><p><b>
The projects are diverse</b> and give you plenty of opportunity to experiment with new tech;</p></li><li><p><b>
The benefits are plenty</b>, with work-from-home budget, a company MacBook and more on the list.</p></li></ul><p><b>
</b>Submit your <b>CV in English in PDF</b>.</p><p><b>
</b>Mind that as we are an international team, internal communication is in English.</p><p><b>
</b>In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.</p><p>
We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.</p><p>
</p><p>Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.</p><p>
Compensation Range: $180K - $210K</p></div>

US | Solutions Architect

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are looking for a strong Partner Solution Architect with a Data &amp; AI background to enable new capabilities for our customers to deploy GenAI workloads on AWS. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interacting with customers directly to understand their business problems, and helping them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). Working with account teams, research scientists, and product teams, you&rsquo;ll drive model implementations and create new solutions.<br>
<br>
We are part of the Worldwide Specialist Organization at AWS, a team of customer obsessed architects and technical business leaders. We work backwards from our customer&rsquo;s most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.
<br>
<br>
Key job responsibilities<br>
Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS AI and data services.
<br>
<br>
Devise Strategy: Partner with regional teams to define and execute engagement strategies for autonomous agent implementations, generative AI adoption, analytics modernization, database migrations, and streaming data architectures across global territories and key partners. Emphasize the increased demand for streaming and messaging expertise driven by the agentic AI backdrop.
<br>
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Product Collaboration: Stay closely connected to AWS service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in AI agents, generative AI, ML, analytics, databases, and streaming services.
<br>
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Thought Leadership: Provide thought leadership on AI and data solutions, including autonomous agent architectures, generative AI use cases, analytics modernization, database migrations, and streaming data patterns. Create enablement content through AWS Blogs, Whitepapers, reference architectures, and present at AWS events and industry conferences.
<br>
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Community Engagement: Drive best practices across regions, participate in, and contribute to the worldwide AWS technical community of Solutions Architects and Consultants focused on our AI and data technology stack.
<br>
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Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for agentic AI solutions, generative AI applications, data stack modernization, analytics workloads, database migrations, and streaming architectures.
<br>
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Partner Enablement: Drive partner solutions and go-to-market strategies across regions. Enable partners to build differentiated offerings for agentic AI implementations, generative AI solutions, data analytics transformation, database modernization, and streaming data services.
<br>
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Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex AI and data projects worldwide.
<br>
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A day in the life<br>
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving our AI and data technology portfolio. You will enjoy learning and introducing new technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
<br>
<br>
As the right candidate, you will possess technical skills in agentic AI architecture, generative AI applications, machine learning, data analytics services, database services, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines and can work effectively across internal and external organizations and remote teams.<br>
<br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.<br>
<br>
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>5+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working within software development or Internet-related industries</li><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience working with AWS technologies from a dev/ops perspective</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Working experience across the agentic AI, generative AI, and data landscape. This experience would include designing and implementing agentic AI systems, building generative AI architectures, developing machine learning models, and architecting data solutions.</li><li>Expertise in agentic AI frameworks, generative AI, ML/AI services, data analytics, and databases</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually<br>
USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually<br>
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually<br>
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually</div><p></p>

Worldwide Partner Solutions Architect, Data and AI GTM

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Walk-in Drive at Hyderabad- Synergy Park</p>
<p>
Date- 11-Apr-26</p>
<p>
JD</p>
<p>
</p><div><div><div><div><div>Skills and Experience Required</div><br>
</div><div><ul><li> 15+ years of overall experience in architecting and building data and analytics solutions</li></ul>
<ul><li> Proven hands-on experience in architecting and implementing solutions using leading cloud data platforms like Databricks, Snowflake, Microsoft Fabric etc.</li></ul>
<ul><li> Strong background in designing and implementing ETL/ELT processes, data lakes, and data warehouses</li></ul>
<ul><li> Strong knowledge and experience in building data quality and metadata management solutions.</li></ul>
<ul><li> Experience with one or more major cloud platforms (Azure, AWS, GCP), with a preference for Azure and its data services ecosystem</li></ul>
<ul><li> Familiarity with Spark, Hadoop, and streaming data technologies</li></ul>
<ul><li> Familiarity with CI/CD pipelines, automation, and infrastructure-as-code</li></ul>
<ul><li> Experienced in working in a customer-facing role</li></ul>
<ul><li> Certifications in Databricks, Snowflake, Microsoft are preferred</li></ul><br>
</div></div><br>
<div><div><div>Responsibilities</div><br>
</div><div><ul><li> Design, build, and maintain scalable, secure, and high-performance data architectures on cloud platforms such as Databricks, Snowflake, and Microsoft Fabric</li></ul>
<ul><li> Lead migration and modernization of legacy data systems</li></ul>
<ul><li> Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into robust data solutions</li></ul>
<ul><li> Establish and enforce data governance, quality, and security standards across the cloud data ecosystem</li></ul>
<ul><li> Evaluate emerging technologies and recommend best-fit solutions to enhance the organization&rsquo;s data capabilities</li></ul>
<ul><li> Document data architecture designs, workflows, and standards for technical and non-technical audiences</li></ul>
<ul><li> Mentor and guide junior team members on best practices and new technologies in the cloud data space</li></ul>
<ul><li> Stay current with industry trends, certifications, and advancements in cloud data platforms and analytics</li></ul><br>
</div></div><br>
</div></div><br>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>405017</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS | Azure | Spark | SNOW</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

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