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Summit Lake Digital
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Delhi · On-site · 7-10 Yrs · Oct 12
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
You are the senior (7-8 years of experience required), hands-on engineer who leads the design and build of Databricks lakehouses for our clients setting platform standards, delivering the medallion and governance layers, and mentoring the team.
Responsibilities
- Design and build end-to-end lakehouse solutions on Databricks, bronze/silver/gold medallion across client engagements.
- Stand up and govern Unity Catalog (access, lineage, PII masking) and CI/CD with Databricks Asset Bundles, Git, and Workflows / Lakeflow.
- Build ingestion pipelines from enterprise sources (Salesforce, QuickBooks/Accounting Seed, UKG, T&E systems, files) via Lakeflow Connect, Auto Loader, ADF or AWS Glue, or partner connectors — using Lakehouse Federation for fast interim delivery while pipelines mature.
- Optimize Spark / Delta pipelines for performance and cost (serverless, right-sizing, cluster policies).
- Partner with analytics engineers to expose gold models to Power BI and Genie.
- Act as a client-facing technical lead: translate requirements into architecture and present to US stakeholders.
- Set and document engineering standards; mentor junior engineers; contribute to reusable SLD
Qualifications
- 7+ years in data engineering, including 3+ hands-on with Databricks in production.
- Deep Spark / PySpark, advanced SQL, and Delta Lake; fluent in medallion architecture.
- Hands-on Unity Catalog, Databricks Workflows / Lakeflow, Asset Bundles, and Git-based CI/CD.
- Strong cloud experience on Azure or AWS (either is fine, Databricks runs on both); Infrastructure-as-Code (Terraform) a strong plus.
- Proven end-to-end implementations and client-facing / consulting experience (US-client exposure a plus).
- Excellent English communication; comfort with ambiguity and multiple concurrent engagements.
- Based in India and willing to overlap with US business hours.
Nice to have
- Databricks certification required, Databricks Certified Data Engineer Professional is ideal
- Azure (DP-700) or AWS data / solutions-architect certs also a plus.
- Experience with Salesforce / QuickBooks / UKG data or PE portfolio-company reporting.
- Exposure to Mosaic AI or GenAI data workflows.
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Lead Data Engineer (Databricks) at Summit Lake Digital?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Summit Lake Digital may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Engineer (Databricks) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Engineer (Databricks) remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Lead Data Engineer (Databricks) role at Summit Lake Digital?
- This is a lead Lead Data Engineer (Databricks) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.