JD — Enterprise Data Architect (Databricks)

Experience Total: 10+ years in data / analytics engineering
Data architecture: 8+ years
Databricks (design and delivery): 3+ years
Salesforce Data Cloud exposure: 1+ year
Budget: 1.6 LPM

Duration: 6 Months

Must-have skills

- Databricks architecture, hands-on: Delta Lake (MERGE, change data feed, liquid clustering, time travel), Unity Catalog (lineage, row filters / column masks), Delta Live Tables / Lakeflow, Workflows; has designed a medallion Lakehouse that is in production.
- Kimball dimensional modelling at expert level: star schemas, conformed dimensions, SCD Type 2, bridge tables, accumulating-snapshot facts, degenerate dimensions, surrogate-key strategy, declared grain. Has personally finalized a 30+ table model.
- Identity-resolution design: deterministic match-key vetting, rule precedence, survivorship, unmatched-residual measurement, and how a CDP consumes that design.
- Source-to-target and pipeline strategy: has produced source registers, latency maps and extraction-pattern decisions for 10+ heterogeneous SaaS, CRM and web-analytics sources.
- Working knowledge of Salesforce Data Cloud / Data 360: Data Lake Objects, Data Model Objects,



harmonization, Unified Individual, calculated insights, segments, consent — enough to design the hand-off and the batch-versus-zero-copy trade-off.
- Specification authorship: writes design documents other engineers build from unaided and is comfortable being the named signatory for build ready.
- Stakeholder facilitation at architect level: runs decision sessions with enterprise architects and business owners and closes open decisions with a defensible rationale.

Good to have

- Marketing-data or CDP programmes: Pardot / Account Engagement, Sitecore, Seismic, Zoom Info, GA4 / Big Query, Cvent, Sales Loft.
- Semantic-layer and metric-view design (Databricks metric views, Tableau / Tableau Next).
- Data-governance literacy: consent as a hard activation gate, data-quality thresholds, ISO 27001 control mapping.
- Lakehouse-to-CDP cost modelling (Data Cloud credits versus Databricks compute).

Certifications (preferred)

- Databricks Certified Data Engineer Skilled or Databricks Solutions Architect accreditation.
- Salesforce Data Cloud Consultant (advantage)

📌 Enterprise Data Architect (Databricks) (Thiruvananthapuram)
🏢 Asian Hires Placement Consultant
📍 Thiruvananthapuram