Staff Data Platform Engineer - Azure Databricks, Greenfield, Remote

Saragossa; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Saragossa is building a centralized data and AI platform on Azure Databricks from the ground up. You will design the Databricks workspace, Unity Catalog governance, CI/CD, and platform tooling to empower engineers and analysts across the business.

This role emphasizes reusable patterns, standards, and hands-on implementation. You’ll own architecture decisions and work closely with engineering, data, and product teams to deliver real impact.

Qualifications

• Experience with Azure Databricks, Unity Catalog, Spark and Delta Lake.
• Terraform for infrastructure as code and GitHub Actions for CI/CD.
• Familiarity with Azure networking and security concepts (Private Link, VNet Injection, Entra ID).
• Orchestration tools and building reusable platform patterns.

Responsibilities

• Design and build the underlying data/AI platform on Azure Databricks.
• Define work patterns, standards, and governance for the platform.
• Collaborate with engineering, data, and product teams to enable faster, broader adoption.

Skills

Platform engineering

Stakeholder management

Architecture decisions

Ownership

Tools

Azure Databricks

Unity Catalog

Spark

Delta Lake

Terraform

GitHub Actions

Private Link

VNet Injection

Entra ID

Job description

This engineering organization builds hardware and software systems used to detect, measure, and monitor radiation in real world environments. Their products are deployed across medical imaging, nuclear energy, and industrial safety, where accuracy and reliability are non-negotiable.

They're now building a centralized data and AI platform from scratch on Azure Databricks to support everything from analytics to machine learning across the business. This is not an incremental improvement project. The platform, standards, and workflows are all being defined from the ground up.

The focus of this role is Azure Databricks and platform engineering. You'll be designing and building the underlying system that other teams rely on, not just writing pipelines. That includes things like Databricks workspace architecture and Unity Catalog governance, orchestration, CI/CD, and the tooling that allows engineers and analysts to actually use the platform effectively.

A big part of the role is thinking beyond your own work. You're building reusable patterns, defining best practices, and enabling other teams to move faster without relying on you for everything. There's also a strong stakeholder component. You'll be working closely with engineering, data, and product teams to understand what they need and shape the platform around real use cases.

From a technical perspective, strong experience with Azure Databricks, Unity Catalog, Spark, and Delta Lake is important, along with Terraform for infrastructure as code and GitHub Actions for CI/CD. Experience with Azure networking and security concepts (Private Link, VNet Injection, Entra ID) and orchestration tools will also be relevant.

The team is small and early, so there's real ownership and visibility. You'll be contributing to architecture decisions, setting engineering standards, and doing hands-on build work rather than inheriting an existing system.

Fully remote role with a slight preference for candidates based in Dallas or Atlanta, but flexibility on location within the US.

Important note: Due to the nature of the work and their client base, candidates must be authorized to work in the United States without any form of employer sponsorship. This means you must be a US Citizen or Green Card holder. Candidates requiring visa sponsorship now or in the future cannot be considered.

If you've worked on building or scaling a data platform on Azure Databricks and want a role with real ownership and impact, this is worth a conversation.