Lead Data Platform Engineer

• Lead and mentor a team of data engineers across architecture, development, testing, and delivery
• Design and implement scalable data pipelines and medallion architecture data models within Databricks
• Build cloud-native ingestion, transformation, orchestration, and analytical workflows
• Migrate legacy SQL Server and SSIS workloads to modern Lakehouse architecture
• Develop AI-enabled data products, dashboards, and conversational analytics capabilities
• Partner with architects, analysts, and federal stakeholders to deliver high-impact data solutions
• Implement data quality, governance, security, CI/CD, and operational monitoring best practices
• Support the full lifecycle of enterprise data products from development through production operations
• Help drive innovation using modern AI, automation, and cloud platform capabilities

Do you have experience in Technical solutions implementation?, Do you have a Bachelor’s degree?, * 8+ years of professional data engineering experience

• 3+ years working with modern cloud-based enterprise data platforms
• Strong hands-on experience with Databricks, Snowflake, Microsoft Fabric, or similar platforms
• Strong SQL and Python development experience
• Experience building production-grade ingestion and transformation pipelines
• Experience designing analytical data models and medallion architecture solutions
• Experience leading engineering teams or technical workstreams
• Experience implementing CI/CD, testing, governance, and security controls within enterprise data environments
• Ability to communicate effectively with both technical and non-technical stakeholders
• U.S. Citizenship required, * Deep Databricks expertise including Unity Catalog, Delta Lake, Spark SQL, PySpark, and Databricks Workflows
• Experience with AI/ML-enabled data products, LLM integrations, or conversational analytics
• Experience with streaming or near real-time ingestion pipelines
• Experience modernizing SQL Server and SSIS environments
• Experience with AWS services supporting Databricks deployments
• Experience working in federal government or regulated environments
• DOE experience strongly preferred, * Bachelor’s (Required), * Databricks Hosted on AWS: 3 years (Required)
• Data Engineering: 8 years (Required)
• Modern cloud-based enterprise data platforms: 3 years (Required)

$150,000 - $165,000 a year - Permanent, Full-time, Pulled from the full job description

• 401(k)
• Health insurance
• Retirement plan
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance, Work Environment
• Fully remote within the United States
• Candidates should generally support Eastern or Central Time business hours
• Occasional travel for client meetings or team collaboration events

Pay: $150,000.00 - $165,000.00 per year, * 401(k)

• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Retirement plan
• Vision insurance

Digital Strategy LLC is seeking a Lead Data Platform Engineer to support a major U.S. Department of Energy modernization initiative focused on migrating legacy SQL Server and SSIS environments to a modern AWS-hosted Databricks enterprise data platform. This is a hands-on technical leadership role for someone who can lead engineering teams while actively building scalable cloud-native data products, AI-enabled analytics capabilities, and modern data platform solutions. You will help shape the next generation of enterprise data delivery for mission-critical federal programs while working alongside experienced architects, engineers, analysts, and federal stakeholders.