> Markdown version of [/jobs/ext/4457062-senior-databricks-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4457062-senior-databricks-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Databricks Platform Engineer - **Company:** Pyramid Consulting Inc. - **Location:** Medina, WA, United States - **Experience:** Expert - **Salary:** $124,800.0 - $128,960.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Airflow, Continuous Integration, Data Governance, Data Systems, Python (Programming Language), Power BI, SQL Databases, Workflow Management Systems, Claude Code, Agentic-AI, Integration Frameworks, Api Design, Terraform, Pyramid, Databricks - **Published:** October 2, 2026 - **Apply:** https://www.disabledperson.com/jobs/75693956-senior-databricks-platform-engineer ## About the Role * Experience in the financial domain, especially in quantitative research. * Skills in API development. * Familiarity with Power BI. * 8+ years of platform and data solutions experience. * Hands-on experience with Databricks (workspace, notebooks, jobs) and building platform capabilities. * Proficiency in Python and SQL. * Familiarity with Modern CI/CD and Infrastructure as Code (Terraform strongly preferred). * Knowledge of Data Governance and observability (Unity Catalog, lineage, monitoring). * Experience with Orchestration tools (Airflow). * AI fluency, particularly in using AI agents (Claude Code preferred) for designing, building, testing, and supporting solutions. ## Description Immediate need for a talented Senior Databricks Platform Engineer. This is a 06+months contract opportunity with long-term potential and is located in Seattle, WA(Hybrid). Please review the job description below and contact me ASAP if you are interested., * Design, build, and enhance platform capabilities within Databricks and related technologies. * Build reusable data products and self-service capabilities. * Design and maintain data pipelines and integration frameworks. * Improve data quality, reliability, lineage, and monitoring. * Accelerate research-to-production delivery by prototyping solutions alongside researchers and establishing efficient production patterns.