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Navy Federal Credit Union · 2 weeks ago

ETS Senior Principal Data Architect (Azure)

Vienna, VA

Full-time

Onsite

Senior Level, Lead/Staff

15+ years exp

Navy Federal Credit Union is seeking a skilled and experienced Sr Principal Data Architect to develop and implement data strategies and frameworks that align with the organization's business goals. The role involves architecting, designing, and building end-to-end cloud-based data services, optimizing data models, and guiding the organization's cloud data strategy to drive innovation and deliver scalable data analytics, ML, and AI solutions.

AssociationFinancial ServicesNon Profit

Comp. & Benefits

No H1B

Responsibilities

Develop and implement a comprehensive data architecture that aligns with the organization's goals and supports business intelligence and analytics initiatives

Develop architecture strategy based on modern data architectures like Data Products, Data Mesh, Data Fabric and Domain Driven Design

Lead the design and architecture activities of cloud-based data solutions using Azure / AWS / GCP to meet the organization's data capabilities requirements

Design data models (canonical, conceptual and logical data models and data flow charts) for operational and analytical systems, ensuring consistency and scalability

Provide thought leadership in optimizing and architecting an Analytical Semantic Layer (ASL)

Collaborate with cross-functional teams, including data scientists, data engineers, application development and business stakeholders, to understand business needs and translate them into data architecture blueprints, design patterns and frameworks

Provide technical leadership and guidance ensuring adherence to best practices, standards, and security protocols

Evaluate existing systems and compute environment, identify opportunities for improvement, and recommend strategies to optimize performance, reliability, and cost efficiency

Conduct proof-of-concept projects to validate the feasibility and effectiveness of new technologies and methodologies

Stay up to date with the latest industry trends, emerging technologies, and advancements in cloud data platform services to drive innovation and continuously improve the organization's data capabilities

Collaborate with internal and external partners for discovery and fit gap analysis to identify and recommend appropriate tools, platforms, and services for cloud-based data analytics, ML, AI solutions

Provide mentoring and knowledge sharing to team members, fostering a culture of continuous learning and development

Qualification

Azure data platformCloud data architectureData modelingData analytics solutionsData architecture paradigmsSQLNoSQLETLELT techniquesBig data technologiesDevOps practicesCommunication skillsProblem-solving skillsInterpersonal skills

Required

15+ years of data architecture and design experience and 10 years of cloud technologies and cloud data solutions experience

Bachelor's or Master's degree in computer science, information technology, or a related field

Extensive experience as a Sr data architect, with a strong focus on Azure data platform

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 ecosystem 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

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

Preferred

Experienced with financial industry data models like Financial Services Logical Data Model (FSLDM) or Banking and Financial Markets Data Warehouse Model (BFMDW)

Preferably experienced with Oracle Cloud Infrastructure (OCI), Oracle Integration Cloud (OIC) and Oracle Banking Cloud Services (OBCS)

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 AWS / GCP Cloud data platform