Lead Engineer Technology (Data Engineering) (India)

Overview

Lead the design, build and delivery of core data platform components and a pod of data engineers, anchoring architecture and engineering standards for pipelines and services the pod owns.

What you'll do

• Own the design, build, and delivery of core data platform components and the pod of engineers behind them
• Translate roadmap priorities from the Technical Director into technical plans, estimates, and timelines
• Design and build scalable data pipelines, covering how data is collected, modeled, and activated
• Turn latent company and client data lakes into data-driven product backends, APIs, and reusable data products
• Evaluate tools and cloud data services, and recommend fit-for-purpose approaches with clear trade-offs
• Write and review production-grade Python and SQL, staying hands-on in design reviews and critical builds
• Partner with the Machine Learning team to deliver reliable feature pipelines and data foundations for predictive models and generative AI
• Use AI tools like Claude Code and Cursor in daily engineering, and build agents and AI-enabled workflows that improve quality, testing, and delivery speed
• Coach the team on AI-assisted development and agentic engineering, and help establish best practices for AI-enhanced processes
• Mentor engineers, support hiring and interviews, and help raise the engineering bar through standards, code review, and team culture
• Implement testing, monitoring, data quality, and observability practices to keep pipelines trustworthy
• Apply data governance, privacy, and security standards that fit client and regulatory constraints
• Communicate effectively with technical and creative colleagues, and with client stakeholders when needed
• Contribute to internal and external knowledge sharing in the form of blog posts, best practices, and methodologies

What you'll need

• 8+ years in data engineering or adjacent disciplines
• 3+ years leading engineers, a pod, or a workstream
• Strong hands-on experience designing and delivering data pipelines and platforms in production
• Ability to translate technical work into clear plans, estimates, and business outcomes
• Experience making data lake or warehouse data available to applications and products
• Working experience with at least one major cloud data platform (BigQuery, Snowflake, Databricks, Redshift, or similar) and sound judgment on when to use it
• Strong technical fluency in Python and SQL
• Experience with orchestration and batch or streaming tools (Airflow, Spark, Kafka, dbt, or similar)
• Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows, ideally having helped teammates adopt them
• Track record of mentoring engineers and enforcing standards and best practices through code review, documentation, and testing
• Solid communication skills across the full range of technical levels, including creative partners

Nice to have

• Experience with data governance, privacy compliance, and security practices
• Working knowledge of marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)
• Experience integrating AI/ML capabilities into data pipelines and shipping GenAI applications to production
• Experience in an agency or consultancy environment, balancing client-facing delivery with internal platform investment
• Experience with infrastructure as code, CI/CD, and FinOps basics

Details

• Location: Bengaluru, Karnataka, India