Website:
sublimedata.ai
Job details:
About Sublime Data
Sublime Data is a Databricks Registered Partner building a focused data platform engineering practice. We help mid-market enterprises migrate legacy data warehouses to the Databricks Lakehouse — Delta Lake, Medallion architecture, Unity Catalog, and ongoing managed services.
The Role
This is the most senior technical role in the firm. You will lead every client engagement architecturally, own the client technical relationship, and help shape how Sublime Data delivers. If you are a strong Databricks architect who is tired of reviewing junior work at a large SI and wants to actually build — this role is for you.
What You Will Do
- Lead end-to-end Databricks implementations — legacy DW migrations, Delta Lake, Unity Catalog, DLT pipelines
- Own the technical client relationship — you present to CTOs and VPs directly
- Deliver Data Platform Assessments and Databricks Health Checks
- Join presales calls, scope engagements, and write technical proposals
- Define and refine our delivery methodology and build reusable accelerators
What We Are Looking For
- Databricks certified — Associate minimum, Professional preferred
- 8-12 years data engineering experience, 3+ years hands-on with Databricks in production
- Has led or been senior contributor on a legacy DW to Lakehouse migration
- Strong in Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, PySpark
- Client-facing — comfortable presenting architecture to CTO and VP-level stakeholders
- Based in India — willing to travel to client locations (Bangalore, Hyderabad, Pune)
What We Offer
- Full technical ownership — you are the most senior engineer, no committee above you
- Competitive salary based on experience — discussed openly at interview
- Certification sponsorship — exam fees and study time covered
- Ahmedabad base — remote-friendly for the right candidate
- Ground floor opportunity — shape the delivery methodology, team, and technical positioning of a growing Databricks practice
Employment Type
Full-time
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