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greenhouse

Senior Data Platform Engineer

Arrowhead Pharmaceuticals
Madison, USA
Senior · 5+ years experience
Onsite
Discovered Today
airflowawsazuredatabricksdbtdelta-lake

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Requirements

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent practical experience
  • 5+ years of experience in data engineering or platform engineering roles, including extensive hands-on experience administering and building on Databricks (clusters, jobs, Unity Catalog, Delta Lake, SQL warehouses)
  • Demonstrated experience managing Databricks infrastructure as code using Terraform
  • Strong proficiency in Python and SQL for building and optimizing data pipelines
  • Experience designing and building data ingestion pipelines from diverse internal and external data sources (APIs, SFTP, third-party vendor feeds, streaming)
  • Working knowledge of cloud platforms (AWS, Azure ) and associated data/storage services
  • Experience supporting business intelligence or natural-language dashboarding tools (e.g., Databricks Genie )
  • Experience implementing data governance, security, and access controls in Databricks (e.g., Unity Catalog permissions, row/column-level security, service principals, secrets management)
  • Ability to explain pipeline and dashboard design decisions to non-technical stakeholders, e.g., when scoping Genie dashboard requirements with business users
  • Preferred
  • Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Databricks Certified Associate/Professional Platform Administrator)
  • Experience with Databricks Genie and building natural-language / self-service analytics experiences for business users
  • Experience integrating data from external data providers or vendor APIs at enterprise scale
  • Familiarity with CI/CD tooling (e.g., GitHub Actions, Azure DevOps, GitLab CI) for automated deployment of Terraform-managed infrastructure
  • Experience with data orchestration tools (e.g., Databricks Workflows, Airflow, dbt)
  • Experience building and supporting agentic workloads on Databricks, including managing model/tool access and governance via the Unity Catalog AI Gateway
  • Expertise in pharma or pharma-related data (e.g., clinical, R&D, regulatory, or commercial pharma data) and the compliance considerations that come with it
  • Wisconsin pay range $155,000—$175,000 USDCalifornia pay range $175,000—$190,000 USD
  • Arrowhead provides competitive salaries and an excellent benefit package.
  • Candidates must have current, valid authorization to work in the country where this role is located.
  • California Applicant Privacy Policy

Preferred Qualifications

  • Preferred

Responsibilities

  • Design, build, and manage Databricks environments (workspaces, clusters, Unity Catalog, SQL warehouses) supporting enterprise analytics and data science workloads
  • Develop and maintain Terraform modules and pipelines to provision, configure, and version-control all Databricks infrastructure and related cloud resources
  • Design and build data ingestion pipelines to bring in data from internal systems and external third-party data providers (APIs, SFTP, batch files, streaming sources) into the lakehouse.
  • Architect and maintain medallion (bronze/silver/gold) data layers using Delta Lake, ensuring data quality, lineage, and governance via Unity Catalog
  • Partner with business and analytics end users to design, build, and support Genie dashboards and enable self-service, natural-language data exploration
  • Implement platform security, access controls, and partner with data stewards.
  • Work with data engineers, analysts, data scientists, AI engineers, and cloud DevOps engineers to build and maintain CI/CD pipelines, automated tests, and Terraform infrastructure-as-code for the data platform
  • Document platform architecture, ingestion pipelines, and operational runbooks
  • Assist AI engineers by building and maintaining MCP (Model Context Protocol) connectors and other data/tool integrations that power agentic workflows

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