Databricks Architect

We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, we’d love to hear from you.

Databricks Architect

This role keeps DataZymes'Databricks capability ahead of the curve. The candidate will track the platformclosely, sandbox new features before they're asked for, advise on internalPOCs, and shape the standards and accelerators the wider practice builds on.

Platform Mastery

•        Maintain deep, current expertise across the full Databricksplatform including engineering (Delta Lake, DLT, Unity Catalog), deployment,cost optimization, governance, and the GenAI/agentic layer (Mosaic AI, Genie).

•        Sandbox new features and form an independent view ontheir trade-offs before recommending them.

•        Own cost optimization as a standing discipline — knowwhat drives DBU spend and architect around it.

Roadmap & Innovation

•        Track Databricks' roadmap and releases, and translatethem into what DataZymes' capability and accelerators should look like next.

•        Recommend and scope internal POCs tied to realcapability needs, not technology for its own sake.

•        Challenge existing architecture and accelerators whenthe platform has moved on.

•        Turn successful POCs into reusable patterns andreference architectures.

Technical Advisory

•        Act as the internal reference for what's currentlypossible on Databricks.

•        Contribute to architecture reviews as theplatform-currency voice.

•        Represent DataZymes' platform thinking externally whererelevant — write-ups, talks, partner content.

Practice Influence

•        Shape Databricks standards and accelerators based onwhere the platform is heading.

•        Guide certification and enablement priorities for thewider team.

•        Feed platform and roadmap insight into DataZymes'Databricks partnership conversations.

Must-Have

•        6–9 years in data engineering or platform architecture,with deep, current Databricks expertise.

•        Breadth across engineering, deployment, costoptimization, and the GenAI/agentic layer.

•        Demonstrated habit of tracking releases andindependently testing new features.

•        Comfortable forming and defending an independenttechnical opinion.

•        At least one active Databricks Professional-levelcertification.

•        First-principles mindset — more interested in thebetter way than the known way.

•        Experience scoping or running Databricks POCs thatinfluenced a build decision.

•        Public or internal thought leadership on Databrickscapability.

•        Familiarity with Databricks partner programme mechanicsand roadmap briefings.

•        Exposure to multi-cloud Databricks deployments (AWS,Azure, GCP).

•        Databricks: Delta Lake, Unity Catalog, Delta LiveTables, Auto Loader, Databricks SQL, Workflows, cluster policies, deploymentarchitecture.

•        Cost & Ops: DBU cost modeling, cluster policydesign, FinOps.

•        GenAI Layer: Mosaic AI, Genie Spaces, AI/BI Dashboards,agent frameworks, MLflow.Agentbricks

•        Cloud: working knowledge of Databricks on AWS, Azure,or GCP.