big data solutions architect

<div><p><b>Title:</b></p>
Big Data Systems Engineer<p></p><p><b>
Belong, Connect, Grow, with KBR!</b></p><p>
KBR&rsquo;s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.</p><p></p><p>
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center&rsquo;s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li>The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs.</li><li>
As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.</li><li>
This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.</li><li>
You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.</li><li>
Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs</li><li>
Deploy CHEETAS within customer environments</li><li>
Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise</li><li>
Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity</li></ul><p></p><p><b>
Work Environment:
</b></p><ul><li><b>Location:</b> Remote - The candidate can either work in one of KBR&rsquo;s facilities or work from home, with a stable internet connection.</li><li><b>
Travel Requirements:</b> This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).</li><li><b>
Working Hours:</b> Standard</li></ul><p></p><p><b>
Basic Qualifications/Knowledge:</b></p><ul><li>
Must have an active TS/SCI Security Clearance to be considered for this position.</li><li>
This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. <b>Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.</b></li><li>
Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)</li><li>
Previous experience must include five (5) years of hands-on experience in big data environments.</li><li>
Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.</li><li>
Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.</li><li>
Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.</li><li>
Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.</li><li>
Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.</li><li>
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.</li><li>
Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).</li><li>
Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.</li><li>
Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.</li><li>
Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.</li><li>
Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.</li><li>
Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.</li><li>
Excellent testing, debugging and problem-solving skills are required to be successful in this position.</li><li>
Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.</li><li>
Ability to speak and present findings in front of large groups.</li><li>
Ability to document and repeat procedures.</li><li>
This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.</li></ul><p></p><p><b>
Preferred Qualifications:
</b></p><ul><li>Experience working in government/defense labs and their computing restrictions.</li><li>
Experience working with major DoD acquisition programs.</li><li>
Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.</li><li>
Experience with working in distributed team environment.</li><li>
Ability to teach and mentor engineers with a variety of skill levels and backgrounds.</li><li>
Knowledge of DoD cybersecurity policies.</li></ul><p></p><p><b>
Basic Compensation:
</b></p><p><b>$142,400 - $180,000 (For the Denver, CO Area only)</b></p><p><b>
$148,900 - $200,000 (For the Los Angeles, CA Area Only)</b></p><p><b>
$148,900 - $200,00 (For the Washington, DC Area Only)</b></p><p></p><p>
The offered rate will be based on the selected candidate&rsquo;s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.</p><p></p><p><b>
Additional Compensation:</b></p><p>
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.</p><p></p><p>
Belong, Connect and Grow at KBR<br>
<br>
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.</p><p></p><p>
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</p></div><p></p>

Big Data Systems Engineer

Kearney

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3><p></p><div><div><p><b>
About Kearney Activate</b></p></div><div><p>
Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through Data and AI.</p></div><div><p>
Our Data &amp; AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled, and cloud-powered transformations. We partner with leading platforms such as Microsoft, AWS, Snowflake, Databricks and Nvidia to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation.</p></div><div><p>
We operate across four key focus areas:</p></div><div><ul><li><div>
Advisory &amp; Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation.</div></li></ul></div><div><ul><li><div>
Data Services: Building trusted, high-quality data foundations using Agentic AI across engineering, architecture, and governance.</div></li></ul></div><div><ul><li><div>
Insights Services: Unlocking value through analytics, data science, and AI-driven storytelling for better decision making.</div></li></ul></div><div><ul><li><div>
Asset Services: Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation.</div></li></ul></div><div></div><div><p><b><br>
Position Overview</b></p></div><div><p>
We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients.</p></div><div><p>
You&rsquo;ll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions.</p></div><div><p><b>
Your Responsibilities</b></p></div></div><div><div><ul><li><div>
Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities.</div></li></ul></div><div><ul><li><div>
Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi structured data sources (e.g., Excel, JSON).</div></li></ul></div><div><ul><li><div>
Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs).</div></li></ul></div><div><ul><li><div>
Drive data quality through embedded validation, monitoring, and automated reporting frameworks.</div></li></ul></div><div><ul><li><div>
Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support.</div></li></ul></div><div><ul><li><div>
Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases.</div></li></ul></div><div><ul><li><div>
Mentor and grow a high-performing team of architects, engineers, and analysts&mdash;fostering innovation, cross functional collaboration, and delivery excellence.</div></li></ul></div><div><ul><li><div>
Champion AI and data architecture as strategic enablers of business transformation&mdash;linking technology decisions directly to measurable client outcomes.</div></li><li><div>
Provide technical leadership within sales processes and client pursuits</div></li><li><div>
Identify and cultivate new opportunities within existing and prospective accounts</div></li></ul></div><div><p><b>
Technologies &amp; Concepts</b></p></div><div><ul><li><div>
Programming &amp; APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2</div></li></ul></div><div><ul><li><div>
GenAI &amp; Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search)</div></li></ul></div><div><ul><li><div>
AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning &amp; Adaptation Strategies</div></li></ul></div><div><ul><li><div>
Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows</div></li></ul></div><div><ul><li><div>
Data Analytics &amp; Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability</div></li></ul></div><div><ul><li><div>
Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments</div></li></ul></div><div><p><b>
Your Profile</b></p></div><div><ul><li><div>
Proven experience designing and scaling GenAI-enabled and data-driven architectures.</div></li></ul></div><div><ul><li><div>
Strong grounding in software engineering principles and AI/ML enablement.</div></li></ul></div></div><div><div><ul><li><div>
Demonstrated ability to lead, mentor, and grow cross-functional technical teams.</div></li></ul></div><div><ul><li><div>
Track record of delivering innovative, scalable solutions that drive clear business value.</div></li><div></div><li><div><br>
Experience influencing CXO-level stakeholders</div></li><li><div>
Strong commercial mindset linking architecture to business value</div></li></ul></div><div></div><div><ul><li><div><br>
Exceptional communication skills.</div></li></ul></div><div><ul><li><div>
Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges.</div></li></ul></div></div><div></div><div><div><b><br>
Why Join?</b></div></div><div></div><div><ul><li><div><br>
Strategic Impact &ndash; Shape the commercial growth engine of one of Kearney&rsquo;s fastest-growing digital businesses.</div></li></ul></div><div><ul><li><div>
Collaborative Ecosystem &ndash; Work with top technology partners and world-class consulting teams.</div></li></ul></div><div><ul><li><div>
Growth &amp; Development &ndash; Access Kearney&rsquo;s global learning programs and partner certifications.</div></li></ul></div><div><ul><li><div>
Culture &ndash; Join a hands-on, high-energy, and inclusive environment focused on innovation and impact.</div></li></ul></div><div><ul><li><div>
Purpose &ndash; Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation.</div></li></ul></div><div></div><div><div><b><br>
Equal Employment Opportunity and Non-discrimination</b></div></div><div><p>
Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person&rsquo;s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.</p></div><p></p><h3 class="jobSectionHeader"><b>
Language Requirements</b></h3><p>
Arabic and English</p></div>

Data and AI Solution Architect

Amazon Web Services

<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>
<br>
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>
<br>
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>
<br>
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>
<br>
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>
<br>
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>
<br>
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>
<br>
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

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description (JD)</b></h1><h3 class="jobSectionHeader"><b>
Role: Data Architect / Tech Lead &ndash; Data Engineering &amp; Analytics</b></h3><p><b>
Location:</b> Onsite - Riyadh<br>
<b>Must Have</b>: <b>Experience over CVM implementation for Telco</b><br>
<b>Experience:</b> 8&ndash;12+ Years<br>
<b>Industry Preference:</b> Telecommunications</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly experienced <b>Data Architect / Tech Lead</b> to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Lead end-to-end <b>data architecture design</b> for enterprise data platforms and analytics solutions</li><li>
Design and implement <b>scalable data warehouses, data lakes, and ETL pipelines</b></li><li>
Drive <b>data modeling (logical &amp; physical)</b> and semantic layer design</li><li>
Oversee <b>data integration</b> across multiple systems using tools like Informatica, DataStage, and Spark</li><li>
Lead large-scale initiatives such as <b>system migrations, platform modernization, and architecture revamps</b></li><li>
Ensure <b>data quality, governance, and compliance</b> across data assets</li><li>
Build and optimize <b>high-performance data pipelines</b> and reporting systems</li><li>
Enable <b>self-service BI and analytics</b> using tools like Tableau, MicroStrategy, and QlikView</li><li>
Collaborate with business stakeholders to translate requirements into <b>technical solutions</b></li><li>
Lead and mentor cross-functional teams including data engineers, analysts, and BI developers</li><li>
Drive <b>automation in reporting and data operations</b></li><li>
Manage performance tuning and optimization of databases and queries</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li>
Strong expertise in:<ul><li><b>
Teradata</b>, <b>Informatica</b>, <b>Apache Spark</b>, <b>Cloudera (Big Data ecosystem)</b></li><li><b>
ETL/ELT design and development</b></li><li><b>
SQL, Python, Shell Scripting</b></li></ul></li><li>
Hands-on experience with:<ul><li><b>
Data modeling tools (Erwin or equivalent)</b></li><li><b>
Data warehouse architecture</b></li><li><b>
Semantic layer design</b></li></ul></li><li>
Database experience:<ul><li><b>
Teradata, Oracle, MySQL, PostgreSQL</b></li></ul></li><li>
BI &amp; Reporting:<ul><li><b>
Tableau, MicroStrategy, QlikView</b></li></ul></li><li>
Familiarity with:<ul><li><b>
GitHub, C#, DataOps frameworks</b></li></ul></li></ul><p></p><h3 class="jobSectionHeader"><b>
Functional Skills</b></h3><ul><li>
Data Architecture &amp; Solution Design</li><li>
Data Integration &amp; Pipeline Development</li><li>
Reporting &amp; Dashboard Automation</li><li>
Performance Optimization</li><li>
Data Governance &amp; Quality Assurance</li><li>
Business &amp; Data Analysis</li></ul><p></p><h2 class="jobSectionHeader"><b>
Leadership &amp; Soft Skills</b></h2><ul><li>
Proven experience leading <b>large-scale data programs</b></li><li>
Strong stakeholder management and communication skills</li><li>
Ability to manage <b>cross-functional and distributed teams</b></li><li>
Experience in <b>project delivery and technical governance</b></li></ul><p></p><h2 class="jobSectionHeader"><b>
Education</b></h2><ul><li>
Bachelor&rsquo;s degree in <b>Information Technology / Computer Science / Engineering</b> or related field</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Experience</b></h2><ul><li>
Telecom domain experience (highly preferred)</li><li>
Experience in <b>large transformation programs</b> (e.g., system revamps, migrations)</li><li>
Exposure to <b>product ownership or project management roles</b></li></ul><p>
</p><p>o79llUR4WA</p></div>

Tech Lead – Data Engineering & Analytics

Ai Vantage

<p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain <b>robust ETL/ELT data pipelines</b> using Python and AWS services</li><li>Build and optimize <b>data lakes, data warehouses, and data marts</b> on AWS</li><li>Ingest, transform, and process structured and unstructured data from multiple sources</li><li>Ensure <b>data quality, integrity, security, and compliance</b> with federal standards</li><li>Collaborate with data scientists, analysts, and application teams to support analytics and reporting</li><li>Optimize performance, cost, and scalability of data workflows in AWS</li><li>Implement <b>data governance, metadata management, and logging/monitoring</b> practices</li><li>Support documentation, data models, and technical design artifacts</li><li>Troubleshoot production issues and support ongoing enhancements</li></ul><p><b>Required Qualifications</b></p><ul><li><b>5+ years of hands-on experience</b> as a Data Engineer or similar role</li><li>Strong proficiency in <b>Python</b> for data processing and automation</li><li>Extensive experience with <b>AWS</b>, including services such as:</li><li>S3, EC2, Lambda</li><li>Glue, Athena, Redshift</li><li>EMR, CloudWatch (preferred)</li><li>Solid understanding of <b>SQL</b> and relational/non-relational databases</li><li>Experience building <b>batch and/or streaming data pipelines</b></li><li>Familiarity with <b>CI/CD pipelines</b>, version control (Git), and DevOps practices</li><li>Experience working in <b>federal or regulated environments</b></li></ul><p><b>Preferred Qualifications</b></p><ul><li><b>US Census Clearance</b> (active or previously held)</li><li>Experience with <b>big data technologies</b> (Spark, PySpark, Hadoop)</li><li>Knowledge of <b>data security, encryption, and access controls</b> in AWS</li><li>Exposure to data orchestration tools (Airflow, Step Functions, etc.)</li><li>Experience supporting <b>analytics, BI, or AI/ML workloads</b></li></ul><p><b>Nice to Have</b></p><ul><li>AWS Certification (Data Analytics, Solutions Architect, or Developer)</li><li>Experience with <b>Terraform or CloudFormation</b></li><li>Familiarity with federal data standards and compliance frameworks</li></ul><p>Job Types: Full-time, Contract</p><p>Pay: $95,000.00 - $110,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Relocation assistance</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Python: 3 years (Required)</li><li>R: 3 years (Required)</li><li>SQL: 3 years (Required)</li><li>ETL: 3 years (Required)</li><li>AWS: 3 years (Required)</li><li>Redshift: 3 years (Required)</li></ul><p>Work Location: Hybrid remote in Vienna, VA 22182</p>

Data Engineer- Local

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services (AWS) is looking for experienced and motivated technologists who possess a unique balance of technical depth and strong interpersonal skills. As a Senior Solutions Architect at Amazon Web Services, you will have the exciting opportunity to assist and shape the future of a high potential set of digitally native customers. You will partner with various AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services.<br>
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In collaboration with sales, you will drive revenue growth across a set of digital native customers. As a trusted customer advocate, the solutions architect will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build a mindshare and broad use of AWS.<br>
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The ideal candidate must be self-motivated with a proven track record in software/technology sales or consulting. The ability to connect technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.<br>
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Sales, Marketing and Global Services (SMGS)<br>
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AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.<br>
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Key job responsibilities<br>
<ul><li>As a key member of the sales team, ensure success in building and migrating applications, software and services on the AWS platform in partnership with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS, Solutions Architects own the overall technical relationship between customers and AWS and make recommendations on security, cost, performance, reliability and operational efficiency.</li></ul><br>
<ul><li>Educate customers of all sizes on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud</li><li>Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS</li><li>Capture and share best-practice knowledge among the AWS solutions architect community.</li></ul><br>
A day in the life<br>
<ul><li>In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.</li><li>Enjoy working with dynamic digital native customers. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of customers.</li><li>Have a strong understanding of large-scale computing solutions. The ideal candidate will have past experience working as a systems engineer/architect.
</li></ul>- You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. - You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.<br>
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About the team<br>
About AWS<br>
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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.
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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>
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Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
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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.
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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 in the cloud.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>3+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>10+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>English and Arabic fluency required</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing cloud services including migrations and modernization projects or equivalent</li><li>Experience working with end user or developer communities</li><li>5+ years of infrastructure architecture, database architecture and networking experience</li></ul><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.</div>

Senior Solutions Architect, KSA Solution Architecture

Honeywell

<div><p>We are looking for a Smart City Technical Lead to join our Team in Abu Dhabi.</p></div>
<br><div><p>1- Deep understanding of IoT technologies, data analytics, big data platforms, AI/ML principles.
</p><p>2- Familiarity with smart cities concepts, city challenges, and potential applications of smart city technologies.
</p><p>3- Ability to design complex distributed systems, considering integration, scalability, performance, and resilience.
</p><p>4- Excellent communication skills to effectively present technical concepts to diverse stakeholders and collaborate with cross-functional teams.
</p><p>5- Strong analytical skills to identify challenges, troubleshoot technical issues, and propose innovative solutions.
</p><p>6- Proven experience as a solution architect in the IoT &amp; smart cities domain with 10+ years of experience.
</p><p><b><i>We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
</i></b></p><p><b><i>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</i></b></p></div>
<br><div><p>1- Craft a comprehensive smart city platform architecture, considering various interconnected systems, data flows, and integration points between different smart city applications.
</p><p>2- Evaluate and choose appropriate technologies (sensors, IoT platforms, data analytics tools, cloud services) based on specific smart city use cases and requirements.
</p><p>3- Collaborate with stakeholders to identify critical smart city use cases like traffic optimization, energy consumption monitoring, public safety alerts, and design tailored solutions.
</p><p>4- Develop data management frameworks to collect, store, analyze, and visualize large volumes of real-time data from various sensors and sources.
</p><p>5- Ensure seamless integration of different smart city components and applications, including legacy systems, into a unified platform.
</p><p>6- Design robust security measures to protect sensitive data within the smart city infrastructure and comply with privacy regulations.
</p><p>7- Oversee the integration of different smart city systems, including but not limited to Access control, BMS, traffic management, energy grids, public lighting, and environmental monitoring.
</p><p>8- Communicate technical concepts to non-technical stakeholders, including city officials, project managers, and end-users.
</p><p>9- Provide technical input on project budgets, timelines, and resource allocation for smart city implementations.
</p><p>10- Manage technical team on site and assign resources based on activities needed.</p></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Smart City Technical Lead

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