ETS Senior Principal Data Architect (Azure)

Vienna, VA, United States

Navy Federal Credit Union

Navy Federal Credit Union is an armed forces bank serving the Navy, Army, Marine Corps, Air Force, Space Force, Coast Guard, veterans, DoD & their families. Join now!

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To support Navy Federal’s Data Architecture organization, we are 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. As a Data Architect, you will be responsible for architecting, designing, and building end-to-end cloud-based data services. Responsibilities include designing and optimizing conceptual and logical data models, implementing data migration strategies, and ensuring the efficient and secure storage of company information. Your expertise in cloud data platforms will be instrumental in guiding the organization's cloud data strategy, driving innovation, and delivering efficient and scalable data analytics, ML and AI solutions.
 

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  • 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.
  • 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.

Desired Qualifications

  • 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.

If you are a highly motivated and experienced Data Architect with a specialization in Cloud computing, we encourage you to apply and play a key role in driving the organization's cloud transformation, data analytics, ML and AI initiatives.

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602 

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.

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From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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Category: Architecture Jobs

Tags: Architecture AWS Azure Banking Big Data Business Intelligence CI/CD Computer Science Cosmos DB Data Analytics Databricks Data management Data quality Data strategy Data warehouse Data Warehousing DevOps ELT ETL GCP Machine Learning NoSQL Oracle Pipelines Power BI Security SQL Tableau Unstructured data

Perks/benefits: Career development Competitive pay Team events

Region: North America
Country: United States

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