Senior Databricks Architect

Genpact Ltd.; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Genpact is seeking a Senior Databricks Architect to design and deliver enterprise-scale Lakehouse solutions for global clients. You will own Databricks platform architecture and lead data modernization, AI/GenAI enablement, and platform adoption across client engagements.

The role requires deep technical ownership, strong stakeholder engagement, and the ability to drive strategy from discovery to implementation. Join a team shaping the future of data engineering.

Qualifications

• 15+ years in data engineering and architecture.
• 3+ years hands-on with Databricks in production.
• Strong client-facing delivery and workshops.

Responsibilities

• Design and own end-to-end Lakehouse architecture on Databricks across AWS/Azure/GCP.
• Lead client discovery, solutioning, and technical presentations.
• Architect data pipelines for batch and streaming workloads.
• Define standards for data governance, security, and access control.
• Guide MLOps and GenAI enablement on Databricks.
• Partner with client stakeholders to define migration strategy.
• Own performance tuning, cluster optimization, and cost governance.
• Mentor engineering teams; act as escalation point for clients.
• Support pre-sales, solutioning, and RFP responses.

Skills

Data engineering

Databricks

Apache Spark

SQL & Data Modeling

CI/CD for Data

Tools

Databricks

Delta Lake

Unity Catalog

MLflow

Job description

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting‑edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Senior Databricks Architect!

Senior Databricks Architect will design and deliver enterprise‑scale Lakehouse solutions for global clients. This role combines deep technical ownership of the Databricks platform with client‑facing leadership driving data modernization, AI/ML enablement, and platform adoption across client engagements.

Key Responsibilities:

• Design and own end-to-end Lakehouse architecture on Databricks (Delta Lake, Unity Catalog, Delta Live Tables, Workflows) across AWS/Azure/GCP
• Lead client discovery, solutioning, and technical presentations to translate business requirements into scalable Databricks architectures
• Architect data pipelines for batch and streaming workloads (Spark Structured Streaming, Auto Loader, Kafka integration)
• Define standards for data governance, security, and access control using Unity Catalog and platform‑native tools
• Guide MLOps and GenAI enablement on Databricks (MLflow, Feature Store, Vector Search, Model Serving)
• Partner with client stakeholders to define migration strategy from legacy warehouses/on‑prem platforms to Databricks
• Own performance tuning, cluster optimization, and cost governance (DBU optimization, cluster policies)
• Mentor engineering teams on Databricks best practices; act as technical escalation point for client engagements
• Support pre‑sales, solutioning, and RFP responses with Databricks‑specific architecture and effort estimation

Required Qualifications:

• 15+ years in data engineering/architecture, with 3+ years hands‑on with Databricks in production environments
• Strong expertise in Apache Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture patterns
• Experience with at least one hyperscaler (AWS, Azure, or GCP) and Databricks' native integrations on that platform
• Proven track record of client‑facing delivery — workshops, architecture reviews, executive presentations
• Strong SQL and data modeling skills; experience with CI/CD for data pipelines (Databricks Asset Bundles, Repos)
• Databricks Certified Professional
• Experience with data mesh/data product architectures on Databricks
• Exposure to GenAI/LLM workloads (RAG pipelines, vector databases) on Lakehouse
• Consulting or systems integrator background with multi‑client delivery experience

Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter

Make an impact – Help global enterprises solve business challenges that matter

Accelerate your career – Gain hands‑on experience, mentorship, and world‑class learning opportunities to stay ahead

Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day

Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.