Senior Databricks Engineer
2nd Flooronsitesenior
Posted 3 days ago · via Workday
About this role
Key Responsibilities: Databricks Platform Engineering • Lakehouse Architecture: Design and implement scalable Lakehouse architectures using Databricks, Delta Lake, and Unity Catalog as the primary platform. • Delta Live Tables: Build and manage DLT pipelines for declarative, reliable, and maintainable data transformation workflows. • Unity Catalog: Govern data assets — tables, volumes, and models — through Unity Catalog, enforcing fine-grained access control and lineage tracking. • Performance Optimization: Tune Spark jobs and Delta tables using Z-ordering, liquid clustering, auto-optimize, and partition strategies to maximize query performance.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, databricks, azure, terraform…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in 2nd Floor. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqldatabricksazureterraformsparkpysparkdbtmlflow
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