[Remote] Senior Databricks Engineering Lead

Note The job is a remote job and is open to candidates in USA. Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on scientific research and innovation. They are seeking a Senior Azure Databricks Engineer to lead the design, build, and operation of a data lakehouse that powers analytics and reporting across PNNL Enterprise Systems, ensuring data governance and enabling self-service analytics. Responsibilities Lead the design, build, and operation of our data lakehouse that powers analytics and reporting across PNNL Enterprise Systems Deliver governed, performant, and reliable data products—especially for ERP and other enterprise—and enable self-service analytics with Power BI and AI/ML Design and evolve a Databricks‑based architecture that moves data with confidence from source systems to curated gold tables Build robust pipelines that transform raw data into analytics‑ready assets for Power BI and AI/ML, balancing pragmatic MVP delivery with a future‑focused architecture Lead modernization from legacy data warehouses and ETL tools into Azure Databricks—refactoring brittle jobs into scalable patterns Shape CI/CD for Databricks (e.g., DAB, Azure DevOps, GitHub Actions) and standardize deployment practices across environments Configure and operate workspaces, clusters, jobs, and workflows; tune for performance and reliability; and embed data quality, monitoring, and observability to keep critical pipelines healthy Implement role‑based access controls, data masking, and fine‑grained models with Unity Catalog to enable secure, compliant data sharing and ensure proper classification, lineage, and auditability Guide engineers and analysts in adopting lakehouse best practices and modern data engineering standards—coding, testing, version control, and documentation Stay current with Azure and Databricks capabilities, recommending and piloting features like Delta Live Tables and Unity Catalog enhancements to build a secure, reliable, and future‑ready data platform Skills PhD and 3 years of Software Engineering experience -OR- MS/MA and 5 years of Software Engineering experience -OR- BS/BA and 7 years of Software Engineering experience -OR- AA and 16 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development -OR- HS/GED and 18 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development 7+ years of professional data engineering or platform engineering experience, with 3–5+ years focused on cloud data platforms 5+ years of experience operating production Azure Databricks, including Delta Lake, SQL, notebooks, Jobs/Workflows, and cluster management Production experience (3-5+ years) designing and operating ingestion-to-gold pipelines (medallion architecture) for ERP or other complex transactional sources Experience with Azure Data Factory and/or Fabric Data Pipelines for orchestration and integration Familiarity with core Azure services ADLS Gen2, Key Vault, Azure DevOps or GitHub Strong proficiency in Python and SQL in a Spark/Databricks environment Experience implementing Databricks Asset Bundles (DAB) or equivalent for CI/CD and standardizing deployment workflows Experience using GenAI / LLM-based tools (e.g., GitHub Copilot, Azure OpenAI, Databricks Genie, or similar) to accelerate and automate engineering tasks such as code generation, test creation, documentation, and troubleshooting Exposure to agentic AI / AI agents (e.g., orchestrating multi-step AI workflows for data quality checks, pipeline monitoring, or support automation) is a plus Benefits Medical insurance Dental insurance Vision insurance Robust telehealth care options Several mental health benefits Free wellness coaching Health savings account Flexible spending accounts Basic life insurance Disability insurance 6 Employee assistance program Business travel insurance Tuition assistance Relocation Backup childcare Legal benefits Supplemental parental bonding leave Surrogacy and adoption assistance Fertility support Company-funded pension plan 6 401 (k) savings plan with company match 6 Up to 120 vacation hours per year Ten paid holidays per year Company Overview Pacific Northwest National Laboratory operates as a government research laboratory. It was founded in 1965, and is headquartered in Richland, Washington, USA, with a workforce of 5001-10000 employees. Its website is http// Apply To This Job