Strong hands-on Databricks Architect/Databricks Engineer Profile with end-to-end build-and-solution capability and Databricks professional certificationMandatory (Experience 1): Must have 5+ years in Data engineering/Data architect roles, with at least recent 3 years of hands-on Databricks experienceMandatory (Experience 2): Must be able to design a solution end-to-end and then build it themselvesMandatory (Experience 3): Current-role project work must clearly align with the JD — the resume must describe the current project (what it is, the candidate's own scope, and the Databricks components used), not just list skills. Generic or JD-mirrored bullets without a concrete project will not be consideredMandatory (Experience 4): Must have experience translating client/business requirements into Databricks solution designs — data pipelines, Lakehouse layouts, and serving layersMandatory (Experience 5): Must have built and maintained end-to-end pipelines — ingestion (Auto Loader, DLT), transformation (PySpark/SQL or dbt), and serving (Unity Catalog, Databricks SQL)Mandatory (Certification): Must hold at least one active Databricks Professional-level certification (Data Engineer Professional preferred)Mandatory (Tech skill 1):



Must have solid working knowledge across the Databricks stack — Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, Databricks SQL, Workflows, and cluster/job configurationMandatory (Tech skill 2): Must have strong SQL and PySpark skills, able to read and reason about existing pipelines quicklyMandatory (Communication): Must be able to act as the client-facing Databricks technical point of contact and explain technical trade-offs in plain terms to non-technical stakeholders.Mandatory (Company) - Must come from an IT services/consulting background with direct delivery on client engagements, US or global clients preferredMandatory (Stability) - Must show reliable tenure: 2+ years average per employer, and no unexplained career gapsMandatory (Note 1) - Must be currently working hands-on on Databricks in their present role, not on an adjacent platform with past Databricks experienceMandatory (Note 2): CTC is inclusive of 20% variableMandatory (Note 3) : Role is Hybrid, WFH flexibility as well upto 6 days a monthPreferred criteriaPreferred (Domain): Pharma or life sciences background

Interested candidate send resume to [email protected]

Pay: ₹1,800,000.00 - ₹3,000,000.00 per year

Work Location: In person

📌 Databricks architect (Bengaluru)
🏢 TalentXO
📍 Bengaluru