Data Architect
Company: Navy Federal Credit Union
Location: Vienna
Posted on: February 15, 2026
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Job Description:
The Data Architect role supports the Enterprise Data &
Information Management (EDIM) organization by architecting,
designing, and guiding data strategies and frameworks that enable
all Enterprise Data & Analytics (EDAS) initiatives. In this role,
you will develop cloud data strategies and design data models,
ETL/ELT pipelines, and data lake/warehouse solutions. Key
responsibilities include creating and optimizing conceptual,
logical and physical data models, implementing data migration
strategies, and ensuring the secure and efficient storage of
company data. You will also develop and maintain architectural
solutions that support scalable and secure data ingestion in Azure
cloud environments, as well as the consumption of data products for
operational analytics and AI/GenAI-enabled solutions. Your
expertise in cloud data platforms will help shape the
organization’s data strategy, drive innovation, and deliver
scalable, high performing analytics, machine learning, and AI
solutions. Navy Federal Credit Union currently does not provide
sponsorship for this role. Applicants must be authorized to work in
the United States without the need for current or future
sponsorship. Responsibilities • Translate business requirements
into scalable, enterprise grade technical designs. • Provide
technical leadership and guidance to ensure adherence to best
practices, architectural standards, and security protocols. • Lead
the design and architecture of Azure based data solutions that
align with organizational data capability needs. • Define and
optimize data integration patterns (batch, streaming, API based)
for performance and cost. • Lead architecture discussions, conduct
design reviews, and mentor technical teams. • Create and maintain
end to end data architecture blueprints, covering conceptual,
logical, and physical layers. • Develop and maintain logical and
physical data models that support scalable, secure, and high
quality data solutions in Azure, partnering with data engineers,
analysts and business stakeholders to ensure optimal structures for
analytics, reporting, operations, and AI. • Establish and enforce
data modeling standards, metadata and lineage practices, and
master/reference data management principles. • Provide thought
leadership in designing and optimizing an Analytical Semantic Layer
(ASL). • Develop architecture strategies grounded in modern data
architecture principles including Data Products, Data Mesh, Data
Fabric, and Domain Driven Design. • Build frameworks to monitor
data quality and resolve integrity issues. • Collaborate with cross
functional teams—including data scientists, data engineers,
application developers, and business partners—to translate business
needs into data architecture blueprints, design patterns, and
frameworks. • Evaluate existing systems and compute environments to
identify opportunities for performance, reliability, and cost
optimization. • Stay current on industry trends, emerging
technologies, and advancements in cloud data platforms to drive
continuous innovation. • Collaborate with internal and external
partners on discovery and fit gap analyses to recommend appropriate
tools, platforms, and services for data analytics, ML, and AI
solutions. • Mentor team members and promote a culture of
continuous learning and development. • Develop and maintain the
enterprise data strategy and multi year roadmap. • Identify
opportunities for optimization, automation, and innovation across
data platforms and processes. Qualifications • 5 to 7 years of data
architecture and design experience, cloud technologies and cloud
data solutions experience. • Bachelors degree in computer science,
information technology, or a related field. • Extensive experience
as a Data Architect, with a strong focus on Enterprise Data Lake
(Azure, AWS etc.), Data Warehouse (Azure Synapse, Snowflake etc.),
and Data Hubs (Azure Cosmos DB, MongoDB etc.). • Experience in data
modeling (Erwin, Hackolade, DB Artisan or similar), data quality
solution (Ataccama, or similar), data governance solution (Unity
Catalog, Alation, Azure Purview or similar). • In-depth knowledge
and hands-on experience in designing, implementing, and managing
cloud-based data analytics, ML. AI solutions using Azure. •
Extensive experience in enabling and shaping up data architecture
of complex data ecosystems to adopt modern data architecture
paradigms like Data Products, Data Mesh, Data Fabric and Domain
Driven Design. • Strong experience in data/information modelling
(canonical, conceptual and logical data models and data flow
charts) at enterprise level, modelling governance and good exposure
to data modelling tools and best practices. • A highly capable
communicator, both written and verbal, adept in engaging,
collaborating, and influencing people across different business
units and at all levels of financial service organizations. •
Strong knowledge and experience in designing and architecting
cloud-based data analytics, ML and AI solutions. • Experience in
cloud data architecture and services, including Azure Data Lake,
Synapse Analytics, Databricks, Azure SQL Data Warehouse, Cosmos DB,
Azure Blob Storage, Azure Data Factory, and Azure Functions. •
Successful in driving architectural change that transforms and
optimizes complex businesses preferably in financial industry. •
Proficiency in SQL, NoSQL, structured and unstructured data. • Well
experienced with Relational Data Modeling (3NF and Dimensional
Modeling) techniques; familiarity with NoSQL modeling preferred. •
Extensive experience with Data Architecture, Database Design
including Data Quality and Master Data Management (MDM) tools,
processes, and governance. Experience with ETL and ELT techniques
and deep understanding of information architecture including data
quality, data governance, data lineage, metadata management and
data security. • Strong understanding of big data technologies,
data warehousing concepts, and data integration patterns. • Solid
understanding of DevOps practices, CI/CD pipelines, and
infrastructure-as-code concepts. • Excellent problem-solving and
analytical skills, with the ability to translate business
requirements into technical solutions. • Strong communication and
interpersonal skills, with the ability to collaborate effectively
with cross-functional teams and communicate complex concepts to
technical and non-technical stakeholders. Desired Qualifications •
Masters degree in computer science, information technology, or a
related field. • Experience with Lakehouse architecture and Unity
Catalog–based governance. • Knowledge of ML/AI data preparation and
feature store design. • Experience working in highly regulated
industries (finance, healthcare, retail, etc.). • Strong
communication, leadership, and architectural documentation skills.
• Experience with data analytics and use of data analytics tools
like Power BI and Tableau. • Experience as a Sr data architect,
with a strong focus on Azure Cloud data platform. Hours: Monday -
Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna VA 22180
About Us Navy Federal provides much more than a job. We provide a
meaningful career experience, including a culture that is
energized, engaged and committed; and fierce appreciation for our
teams, who are rewarded with highly competitive pay and generous
benefits and perks. Our approach to careers is simple yet powerful:
Make our mission your passion. • FORTUNE 100 Best Companies to Work
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Forbes® 2025 America’s Best Large Employers • Forbes® 2025 Americas
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for Tech Workers • 2025 RippleMatch Campus Forward Award Winner for
Overall Excellence • Military.com Top Military Spouse Employers
2025 • 2025 Handshake Early Talent Award
Keywords: Navy Federal Credit Union, Leesburg , Data Architect, IT / Software / Systems , Vienna, Virginia