Tech Lead - AWS Data Engineer

Location: Mumbai / Bangalore / Hyderabad / Gurgaon

Role Summary

We are looking for an experienced Tech Lead – AWS Data Engineering to lead the architecture, design, development, and delivery of enterprise-scale data platforms and modernization initiatives.

The role requires a strong combination of hands-on technical expertise, architectural decision-making, and exceptional team leadership capabilities. The individual will be responsible for leading and mentoring data engineering teams, defining scalable AWS-based data architectures, establishing engineering best practices, and ensuring high-quality delivery across complex enterprise engagements.

Responsibilities

1. Technical Leadership & Architecture

· Lead the architecture and implementation of enterprise-scale data platforms across AWS and Databricks, leveraging Medallion, Lakehouse, and Data Warehouse patterns.

· Define target-state architecture, data modeling standards, and reusable engineering frameworks, ensuring scalability, performance, security, and cost efficiency.

· Drive architectural decisions and design data platforms supporting advanced analytics, AI/ML, and Generative AI workloads.

2. AWS Data Engineering & Platform Development

· Design scalable data ingestion and processing frameworks supporting batch, streaming, real-time, and CDC pipelines using AWS services and Databricks.

· Establish engineering best practices for data integration, quality, performance optimization, observability, and production support.

· Drive platform optimization to improve processing efficiency, reliability, scalability, and cloud cost efficiency.

3. Team Leadership & People Management

· Lead, mentor, and manage data engineering teams, providing technical guidance, career development, and continuous learning opportunities.

· Own team execution, including sprint planning, task allocation, effort estimation, progress tracking, and delivery commitments.

· Drive engineering excellence through architecture reviews, code reviews, technical mentoring, and resolution of complex engineering challenges.

4. Technical Delivery & Engineering Excellence

· Own end-to-end technical delivery, from requirements gathering and solution design to development, deployment, and production stabilization.

· Establish CI/CD pipelines, automated testing, reusable frameworks, and engineering standards across data platforms.

· Proactively manage technical risks, resolve delivery blockers, and ensure adherence to timelines and quality standards.

5. Data Governance, Security & Compliance

· Define and implement enterprise data governance frameworks covering cataloging, lineage, stewardship, data quality, metadata management, and compliance.

· Establish secure data access patterns and governance standards leveraging tools such as Atlan, Unity Catalog, and AWS Lake Formation.

6. Client & Stakeholder Management

· Engage with clients as a trusted technical advisor, driving data strategy, architecture roadmaps, and solution design discussions.

· Translate business requirements into technical solutions and communicate architecture recommendations to senior stakeholders.

· Collaborate with cross-functional teams, manage stakeholder expectations, and identify opportunities for platform optimization and expansion of data and AI capabilities.