data analytics architect

Koch

<div>Your Job
Koch Engineered Solutions (KES) is currently looking for a Data Architect to join our global Information Technology (IT) capability. The IT capability is a vital component of the KES strategy to improve business performance through the application of technology and to profitably transform our business. Our team operates with a startup mentality-working as an integrated group with the Engineering, Operations, Commercial, and Finance teams to design, build, and scale innovative solutions that transform KES work processes.
A Data Architect engages with KES IT and business teams to design, mature, and scale enterprise-endorsed data products that power decision-making, analytics, and AI solutions across KES business units. This role translates complex business problems into well-structured, reusable data models and governed data assets that become trusted foundations for the enterprise.
You must demonstrate the ability to balance technical rigor with business acumen-connecting data modeling decisions to business outcomes, product usability, governance, and long-term scalability. The most impactful work in this role happens at the intersection of data architecture craft, domain understanding, and practical delivery of reusable data products.
A candidate who is proactive, contribution-motivated, and passionate about building data foundations, reusable patterns, and enterprise standards will be a great fit for this opportunity.
This position can be located in our Wichita, KS, Tulsa, OK, or Houston, TX office. Visa Sponsorship is not available for this position.
What You Will Do<ul><li>
Design, build, and evolve enterprise-endorsed data products using dimensional modeling or other patterns appropriate to business use cases.
</li><li>Translate complex business problems into reusable data models, domain structures, semantic layers, and governed data assets that enable analytics, reporting, and AI outcomes.
</li><li>Collaborate with other Data Architects and Analytics Leaders to define, align, and promote data modeling standards, naming conventions, documentation practices, and reusable design patterns across the KES IT Data &amp; Analytics team.
</li><li>Partner with Data Engineers, Analytics Engineers, BI Developers, Product Teams, and business stakeholders to ensure data products are usable, scalable, and aligned to business priorities.
</li><li>Facilitate alignment with stakeholders and product owners on shared business definitions, domain boundaries, metric intent, and data product expectations so endorsed data products reflect both business meaning and architectural standards.
</li><li>Mature the KES data foundation by identifying gaps in data coverage, quality, lineage, and structure, then prioritizing improvements through an iterative, product-minded approach.
</li><li>Support AI-ready data architecture by designing well-governed, well-documented data layers that enable model training, feature engineering, semantic understanding, and AI-assisted insights.
</li><li>Evaluate emerging tools, architecture patterns, and delivery practices that improve how data products are built, governed, reused, and scaled across the organization.
</li></ul>Who You Are (Basic Qualifications)<ul><li>
Experience in data modeling, including dimensional modeling or related patterns for analytics and reporting workloads.
</li><li>Experience writing and optimizing SQL against cloud data warehouses.
</li><li>Proven experience communicating data architecture and technology concepts in both execution detail and broad terms to a variety of technical and business audiences.
</li><li>Demonstrated capability partnering with customers to understand business and operating models, then translating them into coherent data models and reusable data products.
</li><li>Experience with data transformation tools for developing and managing data transformation pipelines.
</li><li>Demonstrated experience applying data modeling standards, documentation practices, and reusable design patterns in a team or enterprise environment.
</li></ul>What Will Put You Ahead<ul><li>
3+ years of experience in data modeling, including dimensional modeling or related patterns for analytics and reporting workloads.
</li><li>5+ years of experience writing and optimizing SQL against cloud data warehouses.
</li><li>Experience building data warehouse, data lake, and data engineering solutions in Snowflake.
</li><li>Experience with Microsoft Fabric for data engineering, warehousing, or analytics workloads.
</li><li>Experience with graph database technologies and relationship-oriented data modeling patterns.
</li><li>Technical experience with serverless cloud technology tools and services (AWS: S3, Glue, Redshift, Lambda, etc.)
</li><li>Exposure to data quality and observability practices
</li><li>Understanding of Master Data Management (MDM) concepts and practices.
</li><li>Experience with DevOps methodologies, processes, and tools such as CI/CD, GitHub, and Azure DevOps.
</li><li>Experience designing data architecture that supports AI, including metadata management, curated semantic layers, documentation, and governed reusable data assets.
</li><li>Bachelor's degree in computer science, Engineering, Mathematics, or a related field.
</li></ul>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company, Koch Engineered Solutions (KES) is a dynamic network of businesses that work together to create an ecosystem of domain expertise to increase operational efficiency, improve safety, reduce waste, and reduce emissions.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aqu&iacute; , or tu ). #LI-MW1</div>

Data Architect

Confidential

<div>
 
 We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organisation from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. If you're passionate about data architecture, AI-ready platforms, and creating enterprise-wide data strategies, we'd love to hear from you.
 
 
 As Data Architect, you will be responsible for defining the bank's data strategy, target-state architecture, data products, and AI-ready data ecosystem. Working closely with Data Engineering, Data Governance, AI Engineering, Enterprise Architecture, and business stakeholders, you'll help establish the trusted data foundation that powers analytics, AI, regulatory reporting, and ecosystem-wide data sharing from day one.
 
 
 
 
 
 
 Responsibilities
 
 
 
 &bull; Define and maintain the bank's enterprise data strategy, target-state architecture, and data models across all business domains.
 
 
 &bull; Design AI-ready data foundations, including feature pipelines, vector-ready architectures, semantic layers, and end-to-end lineage.
 
 
 &bull; Establish the bank's data product architecture, operating model, data contracts, and interoperability standards.
 
 
 &bull; Design data-sharing architectures and ecosystem exchange patterns across internal and external stakeholders.
 
 
 &bull; Define metadata, semantic, ontology, and master data management frameworks across the organisation.
 
 
 &bull; Provide architecture leadership, challenge vendor designs, and ensure the target architecture is adopted across delivery teams.
 
 
 
 
 
 
 Requirements
 
 
 
 &bull; 10+ years of experience in Data Architecture within banking, financial services, or another highly regulated environment.
 
 
 &bull; Proven experience designing enterprise data platforms that support AI, machine learning, and analytics workloads.
 
 
 &bull; Strong expertise in cloud-based data architectures, lakehouse platforms, streaming architectures, and governed data services.
 
 
 &bull; Experience defining data products, semantic models, metadata architectures, and enterprise data standards.
 
 
 &bull; Strong knowledge of banking regulatory requirements including BCBS 239, data governance, and data protection frameworks.
 
 
 &bull; Experience designing ecosystem-wide data-sharing capabilities, Open Finance architectures, or enterprise-scale integration models.
 
 
 
 
 
 Ready to join us? Apply today and take the next step in your career.
 
</div>

DMG Media

<div>Location: DMGT HQ - High Street Kensington, London 
Position: Permanent 


About the Role

We are seeking an experienced Data Architect to define and govern the data architecture across our technology estate &mdash; spanning cloud platforms (AWS and GCP), hosted data centres, and on-premises systems. This role is critical during a period of significant technology transformation: the successful candidate will map, optimise, and design data flows across a complex multi-environment estate; set and enforce data architecture standards; ensure that every project making a material change to our technology or data landscape is optimally designed and documented; and represent those standards at the Technical Design Authority (TDA). The role sits within the Architecture and Integration team and reports directly to the Enterprise Architect. 


Main Responsibilities
<ul>
<li>Data Flow Mapping &amp; Optimisation: Produce comprehensive, accurate maps of current-state data flows across the full estate &mdash; cloud (AWS, GCP), hosted data centres, and on-premises systems. Identify redundancy, latency, and quality issues in existing flows and define target-state designs that are efficient, resilient, and fit for a cloud-first future.
</li>
<li>Data Architecture Standards &amp; Governance: Define, document, and maintain data architecture standards, patterns, and principles for DMG Media. Ensure these standards are consistently applied across all projects and platforms, and act as the authoritative data architecture voice at the Technical Design Authority (TDA).
</li>
<li>Project Engagement &amp; Design Assurance: Be engaged on all projects that fundamentally change the technology or data estate &mdash; from early discovery through to delivery. Ensure that any new capability, platform, or integration is optimally designed, architecture-reviewed, and documented before build commences.
</li>
<li>Multi-Environment Architecture: Design and govern data architecture across a hybrid estate that spans AWS, GCP, hosted data centres, and legacy on-premises systems. Ensure data flows, pipelines, and platform designs work coherently across all environments, with clear ownership of cross-environment patterns and data contracts.
</li>
<li>Cloud Platform Design: Lead the data platform architecture across the cloud estate, designing scalable lakehouse patterns, real-time and batch pipeline architectures suitable for AI/ML infrastructure.</li></ul> 

Person Specification
<ul>
<li><div>Data architecture expertise across multi-environment estates: proven experience designing and governing data architectures that span cloud, hosted data centre, and on-premises environments simultaneously &mdash; not cloud-only.</div>
<div>Multi-cloud platform depth (AWS and GCP): hands-on experience with data services across one or both of AWS (Redshift, Glue, S3 / Lake Formation, MSK, RDS) and GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer).</div>
<div></div>
</li><li><div>Data flow mapping and optimisation: demonstrable experience producing current-state data flow documentation, identifying inefficiencies and risks in existing pipelines, and designing optimised target-state flows. Comfortable working at both the conceptual and technical levels.</div>
<div></div>
</li><li><div>Data architecture standards and governance: experience defining, documenting, and enforcing data architecture standards, design patterns, and principles at an enterprise level. Prior involvement in architecture governance forums (TDA, ARB, or equivalent) essential.</div>
<div></div>
</li><li><div>AI and ML platform architecture: experience designing AI/ML data infrastructure &mdash; including feature stores, model training pipelines, inference serving, and GenAI / RAG architectures grounded in proprietary content.</div>
<div></div>
</li><li><div>Lakehouse and modern data platform design: strong knowledge of open table formats (Apache Iceberg, Delta Lake), zone architecture (landing, cleansed, curated), streaming and batch pipeline patterns, and data quality frameworks.</div>
<div></div>
</li><li><div>Project engagement and design assurance: able to engage early in the project lifecycle, translate business and technical requirements into architecture decisions, and produce governance-quality documentation (HLDs, LLDs, data flow diagrams, integration designs).</div>
<div></div>
</li><li><div>Strong stakeholder management: ability to communicate clearly with both technical teams and senior non-technical stakeholders; able to translate complex data architecture concepts into measurable business outcomes and defensible design decisions.</div></li></ul> 

Required Competencies
<ul>
<li>Ability to operate across the full spectrum of architecture detail &mdash; from enterprise-level data strategy and standards through to the specifics of pipeline design and platform configuration.</li>
<li>Proactive identification of data architecture risk, technical debt, and optimisation opportunities across the estate, including existing flows.</li>
<li>Strong written and verbal communication skills, with the ability to produce clear, professional architecture documentation and present confidently at governance forums.</li>
<li>A collaborative approach to design &mdash; working with engineering, product, and editorial teams to arrive at practical, implementable architecture decisions rather than ideal-state designs that cannot be delivered.</li>
<li>Intellectual rigour and the ability to hold a considered architecture position under challenge, while remaining open to new information.</li>
<li>Awareness of data governance, data quality, and responsible AI principles, and a commitment to embedding these into architecture decisions by design rather than retrospectively.</li></ul> 


Preferred Skills
<ul>
<li>Experience in digital media, news publishing, or a high-traffic consumer internet business &mdash; familiarity with editorial workflows, CMS platforms, real-time audience analytics, and subscription platform data is highly valued.</li>
<li>Oracle database modernisation experience &mdash; assessment of RAC/Data Guard estates and migration to cloud-managed alternatives (RDS, Aurora PostgreSQL, ODB@AWS) is directly relevant to live workstreams at DMG Media.</li>
<li>Cloud migration programme experience &mdash; landing zone design, application workload assessment, and migration sequencing across a complex on-premises estate.</li>
<li>Knowledge of identity, consent management, and GDPR-compliant data architecture patterns in a consumer media context.</li>
<li>AWS Certified Data Analytics, AWS Certified Machine Learning Specialty, or GCP Professional Data Engineer / ML Engineer certification.</li>
<li>Experience with data mesh or data product thinking at enterprise scale.</li></ul> 


The Maturity of the Data Architecture across the organisation will be the primary measure of success, however more detailed performance of the role will be assessed / measured by:
<ul>
<li>Development of a Data platform road map and demonstrable execution.</li>
<li>Completeness and accuracy of current-state data flow maps across cloud, hosted, and on-premises environments, delivered within agreed timescales.</li>
<li>Adoption of data architecture standards across all new and materially changed platforms and projects &mdash; measured through TDA review outcomes.</li>
<li>Quality and timeliness of architecture documentation produced for projects engaging the role &mdash; assessed through peer review and project delivery outcomes.</li>
<li>Successful delivery of target-state data flow designs for priority programmes.</li>
<li>Effectiveness of data architecture representation at the Technical Design Authority &mdash; evidenced by decisions made, standards enforced, and risks identified at design stage.</li></ul> 


Package Description 


Our benefits package increases the longer you've been with us. Here's what to expect:
<ul>
<li>25 days' holiday (increasing by 1 per year up to a total of 30)</li>
<li>Pension plan and life cover</li>
<li>Discounts on online shopping, dining cards and vouchers, and access to our Employee Assistance Programme</li>
<li>Onsite gym, subsidised canteen and onsite nurse and GP clinics</li>
</ul>
Plus much more... 


About Us

dmg media maintains an unwavering commitment to uncovering the stories that matter most. Its brands Daily Mail, The Mail on Sunday, Metro, The i Paper, MailOnline, and Mail+reach more than 9 million people daily in the UK. 
Globally, dmg media's brands reach 160 million unique browsers every month across its domains and apps.*

Its global newsroom of journalists, formidable story-getting power, and breadth of content formats, delivers highly engaging, trusted content to loyal and new audiences, 24 hours a day, seven days a week.

The Mail brand reaches three in five Brits every month and is officially the best-read, most recognised, most engaged newsbrand in the country. It is the largest news publisher on TikTok with over 28 million total followers and nearly 45 billion views** in the past year.

www.dmgmedia.co.uk
<h5 class="jobSectionHeader">
*GA Sept 2024 **March 2024 - Feb 2025 inclusive</h5> 


Our Commitment

We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.

We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.</div>

Damen Middle East

Data &amp; AI Transformation ArchitectAbu Dhabi, UAE | Full-TimeReady to help shape the future of Data &amp; AI in a global maritime organization?Damen is looking for an experienced Data &amp; AI Transformation Architect to help accelerate our journey toward becoming a truly data-driven and AI-enabled enterprise. This is a hands-on, strategic role focused on Data Architecture, Data Governance, Enterprise Data Modelling, Master Data Management (MDM), and modern Data &amp; AI platforms.What You'll Do<ul><li>Lead enterprise Data &amp; AI transformation initiatives</li><li>Develop and improve enterprise data architecture and governance frameworks</li><li>Design and evolve conceptual, logical, and physical data models</li><li>Drive adoption of Data Governance, MDM, and AI best practices</li><li>Collaborate with business and technology stakeholders globally</li><li>Help shape Damen's future Data &amp; AI platform and operating model</li></ul>What We're Looking For<ul><li>10+ years of experience in Data Architecture, Data Governance, MDM, Data Management, or Data Transformation</li><li>Strong experience with Enterprise Data Modelling</li><li>Hands-on experience with Microsoft Azure, Fabric, Databricks, Purview, or similar technologies</li><li>Experience in manufacturing, marine, shipbuilding, engineering, construction, energy, utilities, or other asset-intensive industries</li><li>Strong stakeholder management and consulting skills</li><li>Experience driving enterprise-wide transformation and data maturity programs.</li></ul>Why Join Damen?Join a global organisation investing heavily in Data, AI, and digital transformation. You'll work with international stakeholders, influence strategic initiatives, and play a key role in building a world-class Data &amp; AI capability that supports the future of the maritime industry.Pay: AED15,000.00 - AED20,000.00 per monthApplication Question(s):<ul><li>Has your experience been primarily limited to reporting, dashboards, business analysis, or data science without responsibility for enterprise architecture or governance? </li></ul>Experience:<ul><li>Data Architecture transformation programme: 5 years (Required)</li><li>Enterprise Data: 5 years (Required)</li></ul>Work Location: In person

Data & AI Transformation Architect

SAIC

<div>Job ID: 2616281
Location: Remote Work, TX, US
Date Posted: 2026-08-28
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: ORA_REMOTE 
Description
Position Summary The Data Architect Lead owns the end-to-end data strategy for the Product Line, including data modeling, migration planning, ETL development, data governance, and analytics. This role is critical to the successful migration of legacy supply chain data (AEMS/MERS, GIP, Maximo) to modernized systems (DMLSS, LogiCole, VALIP) and the integration of AI/ML-driven analytics capabilities. 


Key Responsibilities
<ul>
<li>Develop and maintain product-specific data models and enterprise data architecture aligned to Product Line standards</li>
<li>Lead data mapping, extraction, transformation, migration, and analytics activities from VA legacy systems to modernized platforms</li>
<li>Develop and maintain the Data Mapping and Validation Plan, Data Migration Plan and Schedule, and Data Mapping Document</li>
<li>Design, develop, test, and manage data tools to obtain and manage data sets from disparate sources; maintain project management plans for tool development efforts</li>
<li>Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards</li>
<li>Ensure data delivered to third parties (e.g., MEDLOG) conforms to provided standards</li>
<li>Support VALIP cloud ecosystem development, including automated data exchange between internal and external supply chain partners</li>
<li>Develop and maintain bi-directional interfaces between VALIP and Oracle Health EHR, iFAMS, and other enterprise systems; ensure data integrity and validated mappings</li>
<li>Implement AI/ML algorithms and Generative AI capabilities to enhance predictive forecasting and provide near real-time data insights into inventory levels and demand</li>
<li>Develop a Centralized Supply Chain Dashboard to monitor purchase orders, demand fluctuations, and inventory bottlenecks in real time</li>
<li>Ensure all data architecture and migration activities comply with VA security, privacy, and organizational controls</li>
</ul>
Qualifications
Required Qualifications:<ul><li>
Bachelor's degree in Computer Science, Data Science, Information Management, or related field and 13 years of experience</li><li>
8+ years of data architecture and data engineering experience, with federal health IT experience strongly preferred</li><li>
Demonstrated experience with ETL development, data migration, and data governance in large-scale enterprise environments</li><li>
Proficiency with database engineering, data modeling, and VA legacy systems (AEMS/MERS, GIP, Maximo, VistA)</li><li>
Experience with cloud data platforms (AWS, Azure, VAEC) and data pipeline tools</li><li>
Familiarity with FHIR data standards and HL7 messaging for healthcare interoperability</li><li>
Knowledge of AI/ML and Generative AI frameworks for predictive analytics and supply chain optimization</li><li>
Understanding of VA data governance standards, HIPAA/PHI requirements</li><li>
Must be able to obtain and maintain a Public Trust</li></ul> 
Preferred Certifications:<ul><li>
Certified Deployment Professional</li><li>
Certified SAFe Agile Architect</li><li>
Databricks Certified Data Engineer</li><li>
Databricks Certified Generative AI Engineer</li><li>
CDMP</li></ul>
Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Data Architect Lead

Nagarro

<div>
 
 Job Description
 
 
 
 Must have Skills : Architecture (Strong), Cloud architecture (Strong), Technology Architect - Data Architecture (Strong), Technology Architect - Generative AI,
 
 
 Experience: 12+ Years Role Overview We are seeking a seasoned Enterprise &amp; Solution Architect with strong cross-domain expertise and deep technology capabilities to drive large-scale digital transformation initiatives. The role requires a strategic thinker with hands-on architecture experience across industries such as Telecom, Energy, Public Sector, and BFSI, combined with strong proficiency in modern technology stacks including cloud, web, and advanced Data &amp; AI.
 
 
 Key Responsibilities - Define and drive enterprise architecture strategy aligned with business goals across multiple industry domains (Telco, Energy, Public Sector, BFSI). - Lead end-to-end solution architecture for large, complex transformation programs, ensuring scalability, security, and performance. - Design and govern data-driven architectures, including data platforms, analytics ecosystems, and AI/ML solutions. - Architect and implement solutions leveraging Cloud (OCI/AWS/Azure/GCP), Microservices, APIs, and Modern Web Technologies. - Drive adoption of AI capabilities, including Machine Learning, Generative AI, and emerging Agentic AI frameworks for enterprise use cases. - Establish architecture governance, standards, and best practices across programs and portfolios. - Collaborate with business stakeholders to translate requirements into scalable and future-ready architecture blueprints. - Provide technical leadership across delivery teams, ensuring alignment with architecture vision and quality benchmarks. - Evaluate and recommend technology platforms, tools, and vendors aligned with enterprise strategy. - Lead solutioning for RFPs, proposals, and client engagements, including effort estimation and technical strategy.
 
 
 Key Skills &amp; Competencies Domain Expertise - Strong understanding of at least two or more domains: o Telecom (BSS/OSS, Digital Channels) o Energy &amp; Utilities o Public Sector (eGov, Smart City) o BFSI (Banking, Payments, Insurance) Technology Expertise - Cloud Platforms: AWS, Azure, or GCP (multi-cloud exposure preferred) - Architecture Patterns: Microservices, Event-driven, API-first, Domain-driven design - Web Technologies: Modern front-end and backend frameworks - Integration: APIs, Middleware, ESB, iPaaS Data &amp; AI (Core Focus) - Strong expertise in Data Architecture (Data Lakes, Data Warehouses, Lakehouse) - Hands-on experience with Machine Learning models and lifecycle management (MLOps) - Experience in Generative AI (LLMs, prompt engineering, RAG architectures) - Exposure to Agentic AI systems (autonomous agents, orchestration frameworks) - Knowledge of data governance, security, and privacy frameworks
 
 
 Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Architecture certifications (TOGAF, Cloud Architect certifications) preferred
 
 
 Leadership &amp; Behavioral Skills - Strong stakeholder management and executive communication skills - Ability to operate at both strategic and hands-on levels - Proven experience in leading distributed and cross-functional teams - Strong problem-solving and decision-making capabilities
</div>

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