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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.
- 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.
- 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.
Skills Required
- Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field
- 5+ years of production software development experience with full-stack proficiency
- Strong Python experience as a primary programming language
- Experience building production full-stack applications across backend, frontend, and data systems
- Experience designing and deploying applications on AWS and/or Azure
- Hands-on data engineering experience building ETL/ELT pipelines 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 identity management, access control, RBAC, or RLS systems handling sensitive data
- Strong written and verbal communication skills, including design documentation and cross-functional stakeholder management
- Experience with AI/ML tooling, LLM integrations, prompt engineering, evaluations, and MCP servers
- Experience mentoring other engineers
- Experience with the Databricks platform, including Unity Catalog, Delta Lake, Databricks Apps, or Workflows
- Strong SQL proficiency
- Familiarity with Okta, Opal, or Google Workspace identity and access management systems
- Experience building iOS or Android mobile applications
- Experience with SaaS management, procurement systems, or IT operations tooling
- Background in data governance, schema design, access control, or data quality monitoring
- Experience working with distributed teams across time zones
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
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Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
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Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
