About the job
Title - Databricks Solution Architect
Location -Remote
Duration – FTE
Client wants a hands-on Senior Data Engineer to build and scale their enterprise data platform on Databricks + AWS. The core goal isn't just moving data around - it's turning messy operational data into trusted, reusable, "AI-ready" data products that power Tableau, Databricks Genie/Genie Code, ML, and self-service analytics across Manufacturing, Supply Chain, Sales, Finance, and HR. They're trying to shift from one-off pipelines and reports toward a governed, single-source-of-truth platform (Databricks).
Key factors to evaluate the candidate on
The non-negotiables (screen hard here):
8+ years hands-on data engineering at enterprise scale
Production Databricks experience — not just training/POCs
Advanced SQL + Python, and strong Spark/PySpark
Delta Lake and Medallion architecture (Bronze/Silver/Gold) hands-on
Dimensional / enterprise data modeling (facts, dimensions, semantic layers)
Unity Catalog, data governance, lineage, access controls
Git, CI/CD, DataOps practices
AWS (or comparable major cloud)
Can independently own a requirement from source analysis → production
The differentiators (what separates a good fit from a great one):
Experience building data foundations specifically for Genie / conversational / self-service AI analytics, and designing semantic/contextual layers for AI — this is the standout theme and relatively rare, so weight it heavily
Exposure to ML / feature engineering / MLOps workloads
Data quality, reconciliation, monitoring, and production support discipline
Nice-to-haves (tiebreakers, not deal-breakers):
Manufacturing/MES data (WIP, yield, cycle time, test/quality data)
ERP/CRM/PLM/MES or Oracle/SQL Server integration experience
Tableau
Legacy ETL/warehouse → cloud Lakehouse modernization
One thing worth probing in interviews: because this is a platform-building role (reusable frameworks, not one-off pipelines), test for architectural/design thinking and communication with business stakeholders.
About the company
- Scale StageRapidly increasing operations
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