Senior Data Engineer: Cloud Data Modernization & Governance

Navy Federal Credit Union; Vienna (VA); On-site; USD 180,000 - 260,000; Full time

Job summary

Navy Federal Credit Union in Vienna, VA seeks a Principal Data Engineer to lead enterprise Data and Analytics modernization efforts, shaping data strategy and cloud-native architectures across Azure, Databricks, and BI platforms.

The role drives scalable data pipelines, governance, and measurements while mentoring engineers, aligning with security and regulatory requirements, and delivering critical modernization deliverables in a highly regulated environment.

Qualifications

• Bachelor’s degree in information systems, CS, engineering, or a related field.
• Hands-on expertise with Spark, Python, SQL and cloud-native data platforms.
• Experience designing scalable data pipelines and lakehouse architectures.
• Experience with data governance, metadata, lineage, monitoring, and data quality controls.

Responsibilities

• Provide technical leadership for Enterprise Data and Analytics Modernization initiatives across data engineering, analytics, reporting, and data consumption.
• Design, develop, and optimize scalable batch, near real-time, and real-time data pipelines using Spark, Python, SQL, Databricks, Microsoft Fabric, Azure Data Factory, and related Azure cloud services.
• Modernize legacy Analytical Data Store and BI workloads by migrating fragmented reporting and data assets into secure, standardized, governed, and cloud-native analytics platforms.
• Lead the design and implementation of API-driven and event-based data onboarding patterns leveraging enterprise API management, integration, and streaming platforms (Gravitee, MuleSoft, Kafka, and related technologies).
• Establish reusable engineering ETL frameworks, design patterns, and automation capabilities for ingestion, transformation, validation, reconciliation, monitoring, and production support.
• Implement automated data quality validation, reconciliation controls, exception handling, alerting, monitoring, SLA management, and production readiness practices.
• Enable metadata management, lineage, cataloging, and access governance through tools such as Unity Catalog, Alation, and related governance capabilities.
• Partners with data architects, analysts, product owners, business stakeholders, governance teams, and platform teams to translate business needs into scalable technical solutions.
• Guide engineering teams through architecture reviews, implementation decisions, coding practices, design standards, performance tuning, and operational resilience improvements.
• Ensure compliance with Navy Federal, industry engineering, information security, data governance, and regulatory expectations for secure and reliable data solutions.
• Support Agile delivery, DevSecOps practices, CI/CD deployment, release readiness, defect resolution, and production support for critical modernization deliverables.
• Mentor senior and mid-level engineers, promote engineering excellence, and drive adoption of enterprise standards for cloud data engineering and analytics modernization.

Skills

Technical leadership

Cloud data engineering

Data governance

Communication

Education

Bachelor’s degree in Information Systems / CS / Engineering

Tools

Spark

Python

SQL

Databricks

Azure Data Factory

Microsoft Fabric

Power BI

Tableau

Unity Catalog

Alation

Gravitee

MuleSoft

Kafka

Azure

Job description

Navy Federal Credit Union in Vienna, VA seeks a Principal Data Engineer to lead enterprise Data and Analytics modernization efforts, shaping data strategy and cloud-native architectures across Azure, Databricks, and BI platforms.

The role drives scalable data pipelines, governance, and measurements while mentoring engineers, aligning with security and regulatory requirements, and delivering critical modernization deliverables in a highly regulated environment.