senior data architect

Advansys ME

Senior Data Architect is responsible for design and integration of data architecture across business solutions, ensuring that every solution aligns with enterprise data standards and supports strategic data initiatives.
 
The data architect provides hands-on leadership in designing solution data models, integration patterns, and data sharing mechanisms—balancing innovation with control
 
Primary Responsibilities and Activities
 
Apply enterprise data principles and standards at the solution level, ensuring consistent data design and interoperability.
 Document the Data Flows / lineage visualizing the "as-is" data movement across key components of the Data landscape.
 Contribute in overall modeling standards, guidelines, best practices and approved modeling techniques and approaches.
 Contribute in governing the creation of all physical and logical data models in the organization.
 Lead the data architecture stream within solution delivery projects, driving the end-to-end design of data flows, data stores, and integration patterns
 Participate in due diligence of new software purchases by reviewing all proposed data models contained in packaged or commercially available applications.
 Serve on data integration, business intelligence and content management competency panels or teams.
 Serves as a key connector between the Solution Architecture team and the Data Management Office, ensuring data quality, governance, and compliance are embedded early in the solution lifecycle.
 Ensure, gatekeeper functions are effectively defined and managed to reduce data redundancy and increase accuracy during the Solution lifecycle.
 Liaise with the data modeling team, data warehouse team and the application owners in understanding the data interface requirements and help the project team developers to resolve issues related with data requirements.
 Contribute in selection of data management tools, and the development of standards, usage guidelines and procedures for those tools.
 Work & liaise with various technology and business stakeholders in resolving and escalating issues related with the data solutions and seek their concurrence and approval as per the established process during the SDLC until the solution is deployed.
 Provide feedback and improvements over the standards, methodologies, processes and best practices to the enterprise architecture team to review and update enterprise architecture standards both at the group and organization level.
 Provide data architecture support for RFPs, solution proposals, and vendor evaluations as part of the architecture governance process
 Contribute to continuous improvement of data architecture standards, data modeling templates, and delivery methodologies
 Partner with data engineering, BI, and analytics teams to ensure seamless pipeline integration and data availability for downstream use cases
 Work with the Data Quality / Governance teams in understanding areas where data architecture enhancement will assist the overall quality of the Group’s data.
 Educate senior business representatives in best practices for data quality and to work with them to identify realistic goals and data initiatives
 Stay updated with emerging data technologies/ industry trends and propose innovative solutions to improve Organization's Data Architecture, ensuring the data solutions are robust, scalable and secure.
 
Requirements
 Minimum 10+ years of overall experience in data architecture, data modeling, and enterprise data integration, within banking or other highly regulated environments.
 Strong hands-on expertise in Data Modeling (conceptual, logical & physical) using industry standard tools like Erwin etc.
 Excellent analytical, problem-solving, and communication skills to effectively translate Business/functional concepts to technical concepts and collaborate with diverse teams
 A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
 Strong working knowledge of Data Architecture and Architecture governance frameworks such as DAMA-DMBOK, TOGAF (data domain), and enterprise data modeling standards, with hands-on experience applying these frameworks within the SDLC will be an added advantage

Senior Data Architect| Banking

Advansys

Senior Data Architect is responsible for design and integration of data architecture across business solutions, ensuring that every solution aligns with enterprise data standards and supports strategic data initiatives.
 The data architect provides hands-on leadership in designing solution data models, integration patterns, and data sharing mechanisms—balancing innovation with control
 
Primary Responsibilities and Activities
 <ul>
<li>Apply enterprise data principles and standards at the solution level, ensuring consistent data design and interoperability.</li>
<li>Document the Data Flows / lineage visualizing the "as-is" data movement across key components of the Data landscape.</li>
<li>Contribute in overall modeling standards, guidelines, best practices and approved modeling techniques and approaches.</li>
<li>Contribute in governing the creation of all physical and logical data models in the organization.</li>
<li>Lead the data architecture stream within solution delivery projects, driving the end-to-end design of data flows, data stores, and integration patterns</li>
<li>Participate in due diligence of new software purchases by reviewing all proposed data models contained in packaged or commercially available applications.</li>
<li>Serve on data integration, business intelligence and content management competency panels or teams.</li>
<li>Serves as a key connector between the Solution Architecture team and the Data Management Office, ensuring data quality, governance, and compliance are embedded early in the solution lifecycle.</li>
<li>Ensure, gatekeeper functions are effectively defined and managed to reduce data redundancy and increase accuracy during the Solution lifecycle.</li>
<li>Liaise with the data modeling team, data warehouse team and the application owners in understanding the data interface requirements and help the project team developers to resolve issues related with data requirements.</li>
<li>Contribute in selection of data management tools, and the development of standards, usage guidelines and procedures for those tools.</li>
<li>Work & liaise with various technology and business stakeholders in resolving and escalating issues related with the data solutions and seek their concurrence and approval as per the established process during the SDLC until the solution is deployed.</li>
<li>Provide feedback and improvements over the standards, methodologies, processes and best practices to the enterprise architecture team to review and update enterprise architecture standards both at the group and organization level.</li>
<li>Provide data architecture support for RFPs, solution proposals, and vendor evaluations as part of the architecture governance process</li>
<li>Contribute to continuous improvement of data architecture standards, data modeling templates, and delivery methodologies</li>
<li>Partner with data engineering, BI, and analytics teams to ensure seamless pipeline integration and data availability for downstream use cases</li>
<li>Work with the Data Quality / Governance teams in understanding areas where data architecture enhancement will assist the overall quality of the Group’s data.</li>
<li>Educate senior business representatives in best practices for data quality and to work with them to identify realistic goals and data initiatives</li>
<li>Stay updated with emerging data technologies/ industry trends and propose innovative solutions to improve Organization's Data Architecture, ensuring the data solutions are robust, scalable and secure.</li>
</ul>
Requirements: 
<ul>
<li>Minimum 10+ years of overall experience in data architecture, data modeling, and enterprise data integration, within banking or other highly regulated environments.</li>
<li>Strong hands-on expertise in Data Modeling (conceptual, logical & physical) using industry standard tools like Erwin etc.</li>
<li>Excellent analytical, problem-solving, and communication skills to effectively translate Business/functional concepts to technical concepts and collaborate with diverse teams</li>
<li>A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field</li>
<li>Strong working knowledge of Data Architecture and Architecture governance frameworks such as DAMA-DMBOK, TOGAF (data domain), and enterprise data modeling standards, with hands-on experience applying these frameworks within the SDLC will be an added advantage</li>
</ul>

AMK Technology Sdn Bhd

Job Title : Agile Architect Work Location : KOLKATA/WBSkills Required : Data Architecture and ModelingExperience Range Required: 10 years &amp; AboveJob Description: Data ArchitectEssential Skills/Abilities: Data ArchitectJob Types: Full-time, Contractual / Temporary Contract length: 6 monthsPay: ₹1,200,000.00 - ₹1,600,000.00 per yearWork Location: In person

Data Architect (10years+)

9th Way Insignia

<div><div>9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at https://9thwayinsignia.com/.

Application password: Niner</div>
Project Introduction

9th Way Insignia is looking for a Database Architect, Senior to support the Department of Veterans Affairs (VA) Enterprise Acquisition Systems Support (EASS) program, enabling the Electronic Contract Management System (eCMS) portfolio&mdash;an integrated environment of COTS, GOTS, and custom solutions that supports VA acquisition modernization and data-driven decision-making. This role provides senior-level database architecture and administration, ensuring secure, reliable, and high-performing data services that support operational continuity, integrations, and enterprise reporting.

Professional Level

The Database Architect, Senior position aligns as an E3 (Engineer 3) at 9th Way Insignia. An Engineer 3 is an experienced engineer who works independently on complex assignments, applies advanced problem-solving skills to design and implement durable technical solutions, and is expected to contribute to technical direction through mentoring, code quality leadership, and strong engineering judgment. This level typically operates with minimal supervision, collaborates effectively across technical and non-technical stakeholders, and consistently delivers high-impact outcomes.

Responsibilities
<ul>
<li>Provide full-spectrum database architecture and DBA support across the EASS eCMS portfolio, ensuring performance, data integrity, scalability, and compliance with enterprise standards.</li>
<li>Architect, administer, and optimize SQL Server environments, including schema management, stored procedures/functions, indexing strategies, query optimization, and performance tuning.</li>
<li>Design and implement database structures, create tables, and establish data relationships to support application enhancements and integrations.</li>
<li>Produce optimized SQL queries and data structures that support enterprise reporting and analytics consumption needs.</li>
<li>Develop and maintain a comprehensive data dictionary and ensure regular updates to reflect schema and data model changes.</li>
<li>Analyze database performance improvement opportunities and support modernization efforts, including streamlining data movement patterns that support service reliability and reporting.</li>
<li>Support identity and encryption-related implementation and maintenance activities impacting database access and protection, coordinating with security and platform stakeholders.</li>
<li>Produce and maintain recurring database reporting artifacts, including schema management reports, system performance reports, and security compliance reporting.</li>
<li>Ensure database work supports auditability, operational readiness, and predictable release implementation through clear documentation and disciplined change control.</li>
<li>Collaborate with engineering, integration, and reporting teams to ensure database changes are implemented, tested, and deployed predictably and safely.</li>
</ul>
Requirements
<ul>
<li>Master's degree in Computer Science, Electronics Engineering, or other engineering/technical discipline (required); ten (10) additional years of directly relevant experience may be considered in lieu of meeting the degree requirement.</li>
<li>Five (5)+ years of experience performing senior-level database architecture and/or DBA responsibilities in enterprise environments.</li>
<li>Demonstrated expertise with Microsoft SQL Server, relational data modeling, T-SQL, stored procedures, indexing, query optimization, and performance tuning.</li>
<li>Experience supporting data movement and reporting needs (e.g., ETL patterns, integrations, and analytics consumption).</li>
<li>Proven ability to produce and maintain technical database documentation and recurring operational reports (e.g., data dictionary, schema change documentation, performance and compliance reporting).</li>
<li>Strong stakeholder communication skills and ability to coordinate work across engineering, security, and reporting teams in a structured delivery environment.</li>
<li>Ability to obtain and maintain a Public Trust clearance at the Tier 2 (Moderate Risk) level (active preferred).</li>
</ul>
Preferred
<ul>
<li>Experience supporting federal programs and governance-heavy environments with strong documentation and compliance expectations.</li>
<li>Experience supporting authentication/authorization and encryption patterns that impact database access and data protection.</li>
<li>Relevant certifications (e.g., Microsoft SQL Server, Azure/AWS database specialty, security-focused credentials).</li>
</ul><div>
9th Way Insignia's range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Clearance/Background Investigation 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Benefits 
Eligible employees will have access to our comprehensive benefits package which includes Medical, Dental, Vision, Voluntary Life Insurance, 401(k), Basic Life A&amp;D, STD, LTD, PTO, Telehealth, paid holidays, FSA, HSA. Additional resources include our Employee Assistance Program (EAP) and Traveling Assistance.

Legal 
We're an equal employment opportunity employer that empowers our people to fearlessly drive change &ndash; no matter their race, color, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, or local law.</div></div>

Senior Database Architect

Radar Hire LLC

If you are interested and want to apply please go through our website to proceed: http://careers.usjobfinders.com/p/46acffff0383-ai-data-architect-remoteAbout the Role:Radar Hire is seeking a highly experienced and forward-thinking AI Data Architect to design and manage the foundational data infrastructure that powers AI, machine learning, and analytics initiatives for our clients. This is a strategic, hands-on role responsible for creating scalable data pipelines, optimizing data structures, and enabling real-time, intelligent decision-making across enterprise environments.You&rsquo;ll work closely with AI engineers, data scientists, software developers, and business stakeholders to architect end-to-end data solutions&mdash;ensuring data is clean, accessible, secure, and actionable for advanced AI use cases.Key Responsibilities<ul><li>Design and implement scalable, secure, and high-performance data architectures for AI/ML models and systems</li><li>Build and optimize ETL/ELT pipelines that support real-time and batch data processing</li><li>Define and enforce best practices for data modeling, schema design, and metadata management</li><li>Collaborate with AI engineers and data scientists to ensure data pipelines support model training, inference, and retraining workflows</li><li>Architect and manage data lakes, warehouses, and cloud-based storage solutions (e.g., AWS, GCP, Azure)</li><li>Ensure data governance, compliance, and security policies are met (including HIPAA, GDPR, or SOC2, if applicable)</li><li>Monitor data quality and establish automated validation and anomaly detection processes</li><li>Create technical documentation, architecture diagrams, and data flow mappings for internal and external teams</li><li>Evaluate and integrate new tools, frameworks, and platforms to enhance data infrastructure capabilities</li></ul>Required Skills &amp; Qualifications<ul><li>5+ years in data architecture, data engineering, or a related field</li><li>Strong understanding of AI/ML systems and how they interface with structured and unstructured data</li><li>Expertise with cloud platforms such as AWS (e.g., S3, Redshift, Glue), GCP (BigQuery), or Azure</li><li>Proficient in Python, SQL, and modern data frameworks (e.g., Apache Spark, Kafka, Airflow)</li><li>Deep experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB)</li><li>Experience architecting solutions that feed into or support AI models (e.g., LLMs, recommendation systems, predictive analytics)</li><li>Familiarity with MLOps, model lifecycle, and data versioning tools</li><li>Strong documentation, diagramming, and cross-functional communication skills</li><li>Security-first mindset with experience implementing data privacy and governance protocols</li></ul>Nice to Have<ul><li>Experience supporting LLM-based AI pipelines or Retrieval-Augmented Generation (RAG) architectures</li><li>Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embeddings</li><li>Knowledge of Kubernetes, Docker, or cloud-native orchestration systems</li><li>Certifications in cloud architecture, data engineering, or AI/ML (AWS Certified Data Analytics, GCP Data Engineer, etc.)</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;83,204.00 - E&pound;154,523.00 per monthApplication Question(s):<ul><li>Please confirm if you applied through our website so we can proceed with your application. https://radarhire.com/job/ai-data-architect-remote-id-2115/</li></ul>

AI Data Architect (Remote)

Qiddiya | القدية

<div>
 Qiddiya Investment Company is on the lookout for a talented Assistant Manager - Data Architect to join our dynamic team. As a Data Architect, you will be instrumental in shaping the data strategy and architecture to support Qiddiya's innovative projects and data-driven decision-making processes. This role involves creating robust data models, overseeing data integration, and ensuring that the data infrastructure is optimized for analytics and reporting.
 
 
 Your expertise will enable us to harness the power of data in delivering exceptional experiences, and you will collaborate with various stakeholders to align data solutions with business objectives.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Solid understanding of building blocks of modern data and analytics platform - Data Lakehouse, Data Warehouse, Data Fabric, Data Mesh, Active metadata, AI/ML &amp; etc
 </li>
 <li>
 Design and implement data architecture solutions for deployment on cloud, hybrid and multi-cloud environments, specifically on Google Cloud Platform preferred
 </li>
 <li>
 Development of end-to-end architecture for data engineering and analytics to support business analysis and decision making
 </li>
 <li>
 Designing, developing high performance and scalable data engineering and BI &amp; advanced analytical (AI/ML) solutions
 </li>
 <li>
 Assess current and target architecture, and ensure solutions provided are in alignment with the roadmap
 </li>
 <li>
 Define data architecture, governance, data security/privacy principles and enhance existing principles to meet target architecture
 </li>
 <li>
 Solution design for building DataOps and MLOps platforms
 </li>
 <li>
 Understand and analyze data source systems and design efficient and scalable data pipeline solutions for acquisition and ingestion into Datalake and Data warehouse
 </li>
 <li>
 Evaluation of data related technologies, and defining best practices in the assessments of standards, tools and methodologies including ETL development, to perform hands on data analysis
 </li>
 <li>
 Solution design for performant and scalable architecture
 </li>
 <li>
 Continuously monitor and improve performance of database design, pipelines and analytics components through performance tuning
 </li>
 <li>
 Design and build metadata and data catalogue for Data and Analytics platform covering technical, operational &amp; business glossary.
 </li>
 <li>
 Design and implement unified active metadata layer across Data &amp; Analytics platform repositories
 </li>
 <li>
 Good understanding of Data modelling processes, techniques - conceptual, logical, physical
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelors or Master's Degree in Computer Science, Information Technology, or equivalent
 </li>
 <li>
 5+ years in design &amp; development experience in enterprise data warehousing and analytics projects
 </li>
 <li>
 TOGAF or other industry recognized architecture certifications preferred
 </li>
 <li>
 Data engineering, Architecture related certificates
 </li>
 <li>
 Cloud platform certifications, specifically Google Cloud Platform preferred
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Education: A Bachelor's degree in Business Administration, Project Management, Information Technology, or a relevant discipline
 </li>
 <li>
 Experience: At least 4 years of experience as a Business Analyst involved in PMIS implementations or related projects
 </li>
 </ul>
</div>

Assistant Manager - Data Architect

EPAM Systems

<div>EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are searching for an experienced Senior Data Modeler to join our team and contribute to designing, maintaining, and evolving our organization&rsquo;s data architecture.
This role will ensure best practices, standards, and strategies are implemented across our data models while collaborating with cross-functional teams to meet organizational goals.
Responsibilities<ul><li>
Establish, maintain, and evolve information architecture best practices, guidelines, and principles in alignment with the Client's Data Strategy team</li><li>
Drive data modeling initiatives and support the architecture, design, and development of data systems</li><li>
Develop and maintain conceptual, logical, and physical data models using established data modeling guidelines</li><li>
Ensure data models align with relevant industry standards and adhere to best practices</li><li>
Capture and maintain metadata within the enterprise data catalog solution</li><li>
Evaluate data models in commercially available applications prior to procurement</li><li>
Educate and mentor team members and the broader data community on data strategy directives, principles, and standards</li><li>
Ensure adherence to Security and Compliance policies within the scope of Enterprise Information Architecture</li><li>
Collaborate with business partners, IT teams, architecture teams, and contractors to design data models that meet requirements</li><li>
Define and promote compliance with best practices, conducting data design reviews throughout the development lifecycle</li></ul>
Requirements<ul><li>
University degree equivalent to BS/MS in Computer or Life Sciences</li><li>
5+ years of experience, including a focus on Business Analysis involving business process reengineering, user requirements gathering, workshop facilitation, and change management</li><li>
Practical experience with Data Analytics, SQL, and DWBI tools</li><li>
Strong expertise in Data Modeling, including the ability to create Erwin diagrams</li><li>
Proficiency in communication, with excellent verbal and written English skills</li></ul>
Nice to have<ul><li>
2+ years of experience in the Pharmaceutical Industry, preferably in the commercial IT function</li><li>
Background in Agile methodologies and team coordination efforts</li><li>
Familiarity with Collibra</li></ul>
We offer<ul><li>
Opportunity to work on technical challenges that may impact across geographies</li><li>
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>
Opportunity to share your ideas on international platforms</li><li>
Sponsored Tech Talks &amp; Hackathons</li><li>
Unlimited access to LinkedIn learning solutions</li><li>
Possibility to relocate to any EPAM office for short and long-term projects</li><li>
Focused individual development</li><li>
Benefit package:<ul><li>
Health benefits</li><li>
Retirement benefits</li><li>
Paid time off</li><li>
Flexible benefits</li></ul></li><li>
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul></div>

Senior Data Modeler

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