Senior Databricks Lakehouse Migration Lead

MDW Associates, LLC

Arlington (VA)

On-site

USD 130,000 - 155,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Dental
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Group Life Insurance/Long Term/Short

Job summary

MDW Associates is seeking a Senior Databricks Migration Engineer to lead data migration from legacy SQL systems to Databricks Lakehouse for the USPS OIG. You will design scalable Lakehouse architectures, build ETL/ELT pipelines, and optimize for Power BI performance.

This on-site role requires strong leadership in cross-functional teams and a focus on governance and cost optimization. Applicants should have 5+ years in data engineering with cloud experience (Azure/AWS/GCP) and hands-on

Qualifications

  • 5+ years' data engineering or related experience.
  • to be replaced by correct text
  • 5+ years' cloud platform experience (Azure, AWS, GCP).
  • 1+ year leading cross-functional data projects.
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake and cloud-native databases.

Responsibilities

  • Lead migration from legacy SQL Server to Databricks Lakehouse (Delta Lake).
  • Translate warehousing paradigms into scalable Lakehouse frameworks (Bronze-Silver-Gold).
  • Design robust ETL/ELT with PySpark, Delta Live Tables and Databricks Workflows.
  • Architect Gold Layer models to maximize Power BI performance.
  • Optimize Databricks SQL Warehouses for high-concurrency Power BI queries.
  • Implement governance with Unity Catalog and RBAC for security.
  • Create documentation, diagrams, and a knowledge transfer plan.

Skills

Databricks Lakehouse
Apache Spark
SQL
Python / PySpark
Power BI
Leadership

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Databricks
Delta Lake
Azure Data Lake

Job description

MDW Associates is seeking a Senior Databricks Migration Engineer to lead data migration from legacy SQL systems to Databricks Lakehouse for the USPS OIG. You will design scalable Lakehouse architectures, build ETL/ELT pipelines, and optimize for Power BI performance.

This on-site role requires strong leadership in cross-functional teams and a focus on governance and cost optimization. Applicants should have 5+ years in data engineering with cloud experience (Azure/AWS/GCP) and hands-on

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