Senior Data Platform Engineer (Databricks, Python)
- Remote, United States
- Senior
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Senior platform engineering role on an Azure Databricks data platform, run like a software product with shared Python libraries and CI/CD; remote in the US considered.
About the role
The platform ingests, validates and protects data for domain data engineering teams, who onboard through configuration rather than tickets. The team is moving toward operations, so running production systems matters.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Python, Databricks, Azure, Terraform, GitHub Actions, Spark, PySpark, SQL
- Posted
- 29 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Maintain shared Python libraries and config-driven frameworks so domain teams can onboard and run pipelines without platform help
- Own GitHub Actions pipelines and the release process that promotes Databricks Asset Bundles from sandbox to production
- Extend Terraform coverage across Azure and Databricks infrastructure
- Keep platform and data controls in place with Unity Catalog, including protection of sensitive data in a regulated healthcare setting
What they look for
- Three or more years in software, platform, DevOps or SRE, or data engineering, including two years on cloud data platforms or production dat
- Strong Python, covering packaging, modular testable code and pytest, plus Git-based review and CI/CD pipelines for multi-environment deploys
- Hands-on Terraform managing Azure and Databricks resources
- Production Spark or PySpark and SQL, with batch and incremental ingestion, schema evolution, medallion modeling and data quality checks
Nice to have
- Experience with Asset Bundles and system tables
- Prior on-call and disaster recovery planning in a platform or SRE role
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job exiygrv6x4Questions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a senior role. The posting asks for: three or more years in software, platform, DevOps or SRE, or data engineering, including two years on cloud data platforms or production dat; strong Python, covering packaging, modular testable code and pytest, plus Git-based review and CI/CD pipelines for multi-environment deploys; hands-on Terraform managing Azure and Databricks resources. Skills it names include Python, Databricks, Azure, Terraform.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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