Senior Databricks Migration Engineer

Job Description
ECS is seeking a Senior Databricks Migration Engineer to work onsite for the US Postal Services' Inspector General's Office (OIG) at our Arlington, VA office. This role l eads technical data migration efforts from legacy SQL systems, warehouses and servers to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design. This also includes building large data structures and dashboards and reporting on data migration projects.

Responsibilities include:

• Lead the technical migration from legacy SQL Server stored procedures and ADF pipelines to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design.
• Translate traditional relational data warehousing paradigms into scalable, distributed Lakehouse frameworks (Bronze, Silver, Gold).
• Design robust, reusable ETL/ELT frameworks using PySpark, Delta Live Tables (DLT), and Databricks Workflows.
• Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize Power BI performance.
• Optimize Databricks SQL Warehouses to support high-concurrency, low-latency Power BI queries (DirectQuery and Import modes).
• Implement advanced optimization techniques, including Z-Ordering, data skipping, liquid clustering, and materialized views.
• Define and enforce governance standards for cluster sizing, auto-scaling policies, and serverless SQL compute to balance performance with cost.
• Implement proactive monitoring dashboards to track Databricks Unit (DBU) consumption and identify cost-saving opportunities.
• Establish best practices for partition strategies and file size management within Delta Lake.
• Design and implement a robust data security model using Unity Catalog for centralized governance.
• Enforce row-level and column-level security policies to ensure compliant data access for Power BI consumers and internal analysts.
• Align the Lakehouse security architecture with existing enterprise Azure Active Directory (Microsoft Entra ID) and RBAC standards.
• Act as the primary technical lead, conducting dedicated pair-programming sessions, workshops, and code reviews to transition the team from SQL-centric to Spark-centric thinking.
• Create comprehensive technical documentation, including architecture diagrams, design patterns, and optimization playbooks.
• Build a foundational knowledge transfer framework to ensure the internal team is fully self-sufficient post-migration.
• Communicate effectively verbally and in written form to both technical and non-technical audience
• Work in an organized fashion, completing tasks timely while paying close attention to details

Please Note: This position is contingent upon additional funding and requires a Public Trust background investigation. This entails an in-depth background check & either US Citizenship or Permanent Resident (Green Card) status.
Required Skills

• Bachelor's degree or higher from an accredited college or university in Computer Science, Engineering, or a related technical field
• 5+ years' experience in data engineering, data system development or related roles
• 5+ years' experience with cloud platforms (e.g. Azure, AWS, GCP)
• 1+ year leading complex, cross-functional data projects and technical teams
• Experience with Databricks Lakehouse, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
• Experience with data warehousing, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark

Note: This position requires working onsite 4 days a week at out USPS customer site in Arlington, VA.

Salary Range: $130,000 - $158,000 annually

Desired Skills

• Mastery of data engineering principles, including data modeling, ETL (Extract, Transform, Load) processes, and data pipelines
• Proficiency with Azure Data Lake data storage and processing services
• Skilled at designing, building, and optimizing data pipelines for ingesting, transforming, and loading data
• Proficiency in languages such as SQL and Python/PySpark for data manipulation and pipeline development
• Skilled at identifying and resolving data-related challenges
• Skilled at creating efficient data models that meet business requirements
• Skilled at optimizing query performance and system scalability

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:

• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!

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