Lead Data Analytics Engineer

Overview

Lead enterprise analytical data modelling, analytics automation, engineering empowerment and technical modernisation as a senior technical authority for Analytics Engineering. Define strategy and implement working code, prototypes and production-ready solutions while partnering with the Head of Analytics Engineering on the technical roadmap and future engineering capability.

What you'll do

• Lead the enterprise approach to analytical data modelling, including domain models, dimensional models and semantic layers.
• Establish reusable modelling patterns and common business entities that create consistency across Data Products.
• Reduce duplication and improve the performance, scalability and maintainability of analytical models.
• Provide technical leadership for complex and cross-domain modelling challenges.
• Lead the Analytics Automation agenda, transforming how analytics is developed, tested, deployed, documented and monitored.
• Apply Snowflake Cortex, LLMs, intelligent agents and automation to improve engineering productivity and quality.
• Build reusable automation capabilities and accelerators rather than one-off solutions.
• Identify and industrialise emerging technologies that materially improve Analytics Engineering.
• Create frameworks, tools, templates and reusable components that enable squads to deliver independently and faster.
• Improve developer experience and simplify the journey from development to production.
• Remove recurring technical bottlenecks through self-service and reusable engineering capabilities.
• Enable domain teams to build trusted Data Products within established engineering standards.
• Act as a senior technical authority for Analytics Engineering, providing direction on complex solutions and technical decisions.
• Drive engineering standards, modernisation, platform performance and reduction of technical debt.
• Mentor engineers and raise technical capability through communities of practice and knowledge sharing.
• Partner with the Head of Analytics Engineering to shape the technical roadmap and future engineering capability.

What you'll need

• Strong hands-on Analytics Engineering/Data Engineering experience with deep expertise in data modelling, Snowflake, dbt and SQL.
• Proven experience building automation, reusable engineering frameworks and scalable analytical architectures.
• Strong technical leadership experience, including influencing multiple teams, solving complex engineering challenges and mentoring senior engineers.
• Experience applying GenAI, LLMs, AI agents or Snowflake Cortex to engineering automation.
• A hands-on, outcome-driven engineering leader who leads from the front by designing, building, and delivering solutions.
• An individual contributor mindset, equally comfortable defining strategy and implementing it through working code, prototypes, and production-ready solutions.

Nice to have

• Python and modern data observability/lineage experience.
• Experience enabling self-service engineering across distributed analytics teams.

Details

• Location: Mumbai.
• Hybrid work arrangement, working from home and office.