Senior Software Engineer, IT Digital Employee Experience

Databricks•San Francisco, CA
•$159,900 - $219,900

About The Position

Databricks is hiring a Senior Software Engineer for its IT Digital Employee Experience team, which builds internal tools, platforms, and data systems used by employees. The engineer will own projects end-to-end, lead software engineers, and take responsibility for architecture, design, implementation, deployment, and stakeholder management. The role involves building production web and mobile applications on the Databricks Platform, creating data pipelines that ingest information from SaaS systems, and delivering AI-powered integrations that reduce friction across the company. It is a high-autonomy, high-impact role operating with a startup mentality within a scaled organization. The position works with stakeholders across Security, Legal, HR, Finance, and Engineering to identify needs, make technical trade-offs, and deliver solutions. It also includes authoring design documents and architecture proposals, mentoring contractors and junior engineers, planning project work, and autonomously sequencing the roadmap for the domain.

Requirements

  • Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field.
  • At least 5 years of production software development experience, with demonstrated full-stack proficiency across backend, frontend, and data.
  • Strong experience with Python as a primary language and production experience building full-stack applications.
  • Experience designing and deploying applications on cloud platforms such as AWS and/or Azure.
  • Hands-on data engineering experience building ETL/ELT pipelines and working with structured and semi-structured data.
  • Familiarity with CI/CD, Infrastructure as Code, and modern DevOps practices, including GitHub Actions, Terraform, and Docker.
  • Experience with SaaS platforms or service-oriented architectures.
  • Experience with security and systems handling sensitive data, including identity management, access control, and RBAC/RLS patterns.
  • Strong communication skills, including writing clear design documents, presenting to cross-functional stakeholders, and explaining technical trade-offs to non-technical audiences.
  • Experience with AI/ML tooling, LLM integrations, prompt engineering, evaluations, and MCP servers.
  • Experience mentoring other engineers.

Nice To Haves

  • Experience with the Databricks platform, including Unity Catalog, Delta Lake, Databricks Apps, or Workflows.
  • Strong SQL proficiency.
  • Familiarity with identity and access management systems such as Okta, Opal, or Google Workspace.
  • Experience building iOS or Android applications.
  • Experience with SaaS management, procurement systems, or IT operations tooling.
  • Background in data governance, schema design, access control, and data quality monitoring.
  • Experience working with distributed teams across time zones.

Responsibilities

  • Design, build, and maintain production full-stack web and mobile applications used across the company, including procurement platforms, employee experience apps, SaaS management tools, and leadership mobile apps.
  • Build and own data pipelines that ingest, transform, and serve SaaS-system data in Databricks, ensuring data quality and pipeline reliability.
  • Architect and implement authentication and authorization flows using Okta, OAuth, and service principals.
  • Build and deploy MCPs connecting internal tools to AI assistants, and contribute to AI-powered features such as LLM-based classification, data enrichment, and prompt-based guardrails.
  • Design and manage CI/CD pipelines, Infrastructure as Code, and deployment automation using GitHub, HashiCorp Vault, and Databricks tooling.
  • Improve and enforce software engineering standards, including PR review processes, testing frameworks, and dev, staging, and production environment management.
  • Work with stakeholders across Security, Legal, HR, Finance, and Engineering to gather requirements, navigate trade-offs, and deliver solutions.
  • Author design documents, PRDs, and architecture proposals for new systems and features.
  • Mentor contractors and junior engineers, delegate work, break down roadmap items, and drive project planning with minimal management oversight.
  • Drive domain roadmap planning by identifying high-impact work and autonomously sequencing it.

Benefits

  • The total compensation package may include eligibility for an annual performance bonus and equity.
  • Comprehensive benefits and perks are offered; specific details depend on region.
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