Senior Databricks Migration Engineer

Everforth, Inc.; Arlington (VA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Job summary

Everforth ECS in Arlington, VA, seeks a Senior Databricks Migration Engineer to lead the migration of legacy data pipelines to a Databricks Lakehouse. You will design Bronze/Silver/Gold layers, implement PySpark ETL/ELT, and optimize for Power BI performance in a hybrid office environment.

You have 5+ years in data engineering, strong Azure experience, and a track record of guiding cross-functional data projects.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 5+ years' experience in data engineering or related roles.
• 5+ years' experience with cloud platforms (Azure, AWS, GCP).
• 1+ year leading complex, cross-functional data projects and technical teams.
• Experience with Databricks Lakehouse, Apache Spark, Delta Lake, and distributed compute platforms.
• Proficiency in SQL and Python/PySpark for data manipulation and pipelines.

Responsibilities

• Lead migration from legacy SQL Server/ADF pipelines to Databricks Lakehouse and Delta Lake.
• Design scalable Lakehouse frameworks (Bronze/Silver/Gold) and robust ETL/ELT pipelines.
• Optimize Databricks SQL Warehouses for high concurrency and low latency Power BI queries.
• Define governance standards using Unity Catalog and RBAC for secure access.
• Mentor team through pair-programming, workshops, and code reviews.
• Create architecture diagrams, design patterns, and optimization playbooks.

Skills

Databricks Lakehouse

Apache Spark

Delta Lake

PySpark

Delta Live Tables

Databricks Workflows

Power BI

SQL

Python/PySpark

Unity Catalog

Azure AD / Entra ID

RBAC

Education

Bachelor's degree in Computer Science/Engineering

Tools

DLT

Azure

Cloud platforms (Azure/AWS/GCP)

Job description

ECS is seeking a Senior Databricks Migration Engineer to work in our Arlington, VA (hybrid) office. Please Note: This position is contingent upon additional funding.

The individual serves as the authoritative resource for the agency who specializes in preparing big data infrastructure for analytical or operational uses. They are responsible for designing and creating systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret and enables the agency to make smarter decisions and optimize operations.

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.
• 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.
• 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.

Desired Skills

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.

Everforth ECS is the federal segment of Everforth , 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!

Our Company

Our Culture

Employer Privacy Policy

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.

Everforth ECS is the federal segment of Everforth , 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.

Meet the challenge. Make a difference with Everforth ECS!

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