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# Lead Data Platform Engineer

- **Company:** DIGITAL STRATEGIES, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Engineering, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Systems, Apache Hive, Python (Programming Language), Microsoft SQL Server, Standard Sql, SQL Server Integration Services, Enterprise Data Management, Cloud Platform System, Data Ingestion, Large Language Models, Snowflake, Microsoft Fabric, Data Lakes, Pyspark, Data Analytics, Data Pipelines, Databricks
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fd5bc061e14919db

## About the Role

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)

## Description

* 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


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