Strategic Overview
Senior Software Engineer, IT Digital Employee Experience at Databricks is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Design, build, and maintain production full-stack applications (web and mobile) used company-wide. Such as, but not limited to, procurement platforms, employee experience apps, SaaS management tools, and mobile apps for leadership.
The role is listed for San Francisco, California, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
At Databricks, we are on a mission to help data teams solve the world's toughest problems.
The IT Digital Employee Experience team builds the internal tools, platforms, and data systems that power how every Brickser works.
From procurement applications and SaaS inventory systems to mobile apps, AI-powered tools, and data pipelines that serve IT.
Key Responsibilities & Objectives
- Design, build, and maintain production full-stack applications (web and mobile) used company-wide. Such as, but not limited to, procurement platforms, employee experience apps, SaaS management tools, and mobile apps for leadership.
- Build and own data pipelines that ingest, transform, and serve data from SaaS systems into Databricks, ensuring data quality and pipeline reliability.
- Architect and implement authentication and authorization flows using Okta, OAuth, and service principals.
- Build and deploy MCPs that connect internal tools to AI assistants, and contribute to AI-powered features, including 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 SWE standards for the team: PR review processes, testing frameworks, and environment management (dev/staging/prod).
- Work directly 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 roadmap planning for your domain by identifying high-impact work and autonomously sequencing it.
Required Qualifications & Candidate Blueprint
- Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field.
- 5+ years of production software development experience, with demonstrated full-stack proficiency (backend, frontend, and data).
- Strong experience with Python as a primary language, with production experience building full-stack applications.
- Hands-on experience with data engineering — building ETL/ELT pipelines, working with structured and semi-structured data.
- Familiarity with CI/CD, IaC, and modern DevOps practices (GitHub Actions, Terraform, Docker).
- Experience with SaaS platforms or service-oriented architectures.
- Experience with security and systems that handle sensitive data: identity management, access control, RBAC/RLS patterns.
- Strong communication skills. You can write a clear design doc, present to cross-functional stakeholders, and navigate technical trade-offs with non-technical audiences.
- Experience with AI/ML tooling, LLM integrations, prompt engineering, evals, and MCP servers.
- Experience with the Databricks platform (Unity Catalog, Delta Lake, Databricks Apps, Workflows).
Preferred Qualifications
- Experience with the Databricks platform (Unity Catalog, Delta Lake, Databricks Apps, Workflows).
- Strong SQL proficiency.
- Familiarity with identity and access management systems (Okta, Opal, Google Workspace).
- Experience building mobile applications (iOS/Android).
- 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.
Salary & Benefits
Published compensation: $159,900 – $219,900 USD
- At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Salary Benchmark
This role’s published compensation is compared with active employer-disclosed ranges for the same role at the Senior level, in the same currency and pay period.
Benchmark uses active employer job postings in our database, excludes this listing, and matches the currency and pay period. It is not a third-party salary estimate; currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
Senior Software Engineer, IT Digital Employee Experience
San Francisco, California
GAQ427R232
At Databricks, we are on a mission to help data teams solve the world's toughest problems. The IT Digital Employee Experience team builds the internal tools, platforms, and data systems that power how every Brickser works. From procurement applications and SaaS inventory systems to mobile apps, AI-powered tools, and data pipelines that serve IT.
As a Senior Software Engineer on this team, you will own projects end-to-end and be the team lead of software engineers. You will own architecture, design, implementation, deployment, and stakeholder management. You'll build production web and mobile applications on the Databricks Platform, design data pipelines that ingest from dozens of SaaS systems, and ship AI-powered integrations (MCP servers, LLM features) that reduce friction across the entire company. This is a high-autonomy, high-impact role where you operate with a startup mentality inside a scaled organization.
The impact you will have
- Design, build, and maintain production full-stack applications (web and mobile) used company-wide. Such as, but not limited to, procurement platforms, employee experience apps, SaaS management tools, and mobile apps for leadership.
- Build and own data pipelines that ingest, transform, and serve data from SaaS systems into Databricks, ensuring data quality and pipeline reliability.
- Architect and implement authentication and authorization flows using Okta, OAuth, and service principals.
- Build and deploy MCPs that connect internal tools to AI assistants, and contribute to AI-powered features, including 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 SWE standards for the team: PR review processes, testing frameworks, and environment management (dev/staging/prod).
- Work directly 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 roadmap planning for your domain by identifying high-impact work and autonomously sequencing it.
What we look for
- Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field.
- 5+ years of production software development experience, with demonstrated full-stack proficiency (backend, frontend, and data).
- Strong experience with Python as a primary language, with production experience building full-stack applications.
- Experience designing and deploying applications on cloud platforms (AWS and/or Azure).
- Hands-on experience with data engineering — building ETL/ELT pipelines, working with structured and semi-structured data.
- Familiarity with CI/CD, IaC, and modern DevOps practices (GitHub Actions, Terraform, Docker).
- Experience with SaaS platforms or service-oriented architectures.
- Experience with security and systems that handle sensitive data: identity management, access control, RBAC/RLS patterns.
- Strong communication skills. You can write a clear design doc, present to cross-functional stakeholders, and navigate technical trade-offs with non-technical audiences.
- Experience with AI/ML tooling, LLM integrations, prompt engineering, evals, and MCP servers.
- Experience mentoring other engineers.
Bonus points
- Experience with the Databricks platform (Unity Catalog, Delta Lake, Databricks Apps, Workflows).
- Strong SQL proficiency.
- Familiarity with identity and access management systems (Okta, Opal, Google Workspace).
- Experience building mobile applications (iOS/Android).
- 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Design, build, and maintain production full-stack applications (web and mobile) used company-wide. Such as, but not limited to, procurement platforms, employee experience apps, SaaS management tools, and mobile apps for leadership. — rather than a generic title alone.
Resume & Application Strategy
For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.