Overview

- Date Opened 05/27/2026 - Job Type Full time - Industry IT Services - City ahmedabad - State/Province Gujarat - Country India - Zip/Postal Code 380007

Responsibilities

• Tech Lead, Databricks & Modern Data Stack
• Company: Creole Studios
• Location: Ahmedabad, India
• Reports to: Founder & CEO
• Type: Full time
• About the role
• Creole Studios is launching a dedicated Data & AI practice focused on the modern data stack, with Databricks as the anchor. The target market is US mid-market companies that need data platforms that actually work in production.
• We are hiring our first Tech Lead for this practice. You will be one of the first engineers on the ground, lead a small pod of data engineers, and own technical delivery on our early client engagements.
• This is a hands-on lead role. Roughly 60% deep technical work (architecture, code, reviews), 30% team leadership (mentoring, planning, quality), 10% client and pre-sales support.
• If you are a strong senior data engineer ready for a lead role with real ownership, this is the seat.
• For more information you can reach on : https://www.creolestudios.com
• Architect and build Databricks-based data platforms for US mid-market clients.
• Design and implement medallion architectures, Delta Lake pipelines, Unity Catalog governance, and Workflows-based orchestration.
• Write production PySpark and SQL. Yes, you will still be in the code.
• Set engineering standards: code quality, testing, CI/CD, IaC, monitoring.
• Lead a pod of 3 to 5 data engineers across 1 to 2 client engagements.
• Run code reviews, design reviews, and weekly technical syncs.
• Mentor mid and junior engineers. Help them get certified.
• Be the technical point of contact for client engineering teams.
• Run technical workshops, requirement-gathering sessions, and architecture reviews with client stakeholders.
• Translate business requirements into technical solutions.
• Contribute to internal IP: reusable accelerators, reference architectures, demo assets.
• Help shape engineering standards and delivery playbooks for the practice.

Qualifications

• 6 to 10 years in data engineering, with at least 3 years on Databricks or Spark at production scale.
• Strong PySpark and SQL. You can write, debug, and optimize Spark jobs without help.
• Databricks ecosystem fluency: Delta Lake, Unity Catalog, Workflows or DLT, MLflow basics. Databricks Certified Data Engineer Associate or Professional (or willing to get certified within 60 days of joining).
• One cloud at strong level, ideally AWS or Azure. Comfortable with IAM, networking basics, and Terraform or equivalent IaC.
• Modern data stack exposure beyond Databricks: Airflow, dbt, Fivetran, or similar.
• Prior lead or senior engineer experience. You have led at least one team of 3+ engineers on a real project. You know how to run a code review, push back on bad design, and unblock a junior.
• Solid English, written and spoken. You will be on calls with US clients regularly.
• Databricks Certified Data Engineer Qualified or ML Associate.
• GenAI or LLM work on Databricks (Mosaic AI, vector search, RAG pipelines).
• DevOps fluency: CI/CD pipelines, Docker, Kubernetes, observability tooling.
• A pure individual contributor seat. You will lead people.
• A management-only role. You will still be in the codebase every week.

Benefits

• A leadership role in a brand new practice with room to grow into a Principal or Practice Lead position over 2 to 3 years.
• Direct working relationship with the founder. Decisions get made quickly.
• US client exposure from day one. Real platforms, real production scale.
• Strong compensation with a performance-linked component.
• Full sponsorship for Databricks certifications, cloud certifications, and relevant training.
• A resume or LinkedIn profile.
• A short note (5 to 10 lines) on the most complex Databricks or Spark problem you have solved and how you approached it.