Lead Data Engineer

Obrimo Technologies
Bengaluru, Karnataka, India

We're Hiring: Technical Anchor – Databricks on AWS

Locations: Mumbai | Bangalore | Hyderabad | Pune

Experience: 8+ Years

Mandatory Experience: 4+ Years of hands-on experience with Databricks on AWS

🔹Role Overview

We are looking for an experienced Technical Anchor to lead the architecture, development, and delivery of our enterprise Data Lakehouse platform.

This role combines technical leadership with hands-on engineering expertise. The ideal candidate will drive technical strategy, design scalable data solutions using Databricks on AWS, and mentor a team of data engineers.

🔹 Key Responsibilities

  • Design and implement scalable cloud data architectures using Databricks Lakehouse on AWS, following the Medallion Architecture (Bronze, Silver, and Gold layers).
  • Build and manage robust batch and real-time data pipelines using PySpark, SQL, Delta Lake, and Delta Live Tables.
  • Implement data governance, access controls, and cross-account integrations using Databricks Unity Catalog.
  • Ensure compliance with AWS security standards, including IAM, KMS, VPC Peering, and PrivateLink.
  • Establish engineering best practices, conduct code reviews, and mentor data engineering teams.
  • Lead technical design discussions and collaborate with product owners and client stakeholders.
  • Optimize Apache Spark performance using Photon, serverless compute, and pipeline tuning techniques.
  • Monitor and optimize data processing costs while ensuring performance, scalability, and reliability.

🔹 Required Skills & Qualifications

  • 8+ years of experience in Data Engineering, with at least 4+ years of hands-on experience building production solutions using Databricks on AWS.
  • Strong expertise in PySpark, Apache Spark, Python, and complex SQL queries.
  • Extensive knowledge of AWS services, including S3, EMR, Athena, Glue, and CloudWatch.
  • Experience with Infrastructure as Code (IaC) and cloud automation.
  • Practical experience implementing and managing Databricks Unity Catalog across multiple environments.
  • Strong understanding of Medallion Architecture, Delta Lake, and Delta Live Tables.
  • Proven experience in technical leadership, architecture design, code reviews, and mentoring data engineering teams.
  • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

🎯 Ideal Candidate: A hands-on technical leader with deep expertise in Databricks on AWS, cloud data architecture, performance optimization, and team leadership.

📩 Interested candidates can share their updated CV along with their current CTC, expected CTC, and notice period.

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