Purpose of the job
The Lead Data Analytics Engineer is a senior technical leadership role responsible for advancing Enterprise Data Modelling, Analytics Automation and Engineering Empowerment across Global Analytics.
Working directly with the Head of Analytics Engineering, the role translates the Analytics Engineering strategy into technical direction, reusable capabilities and up-to-date engineering practices. The role enables squads to independently deliver trusted, scalable Data Products while maintaining enterprise consistency and engineering excellence.
Key Responsibilities
Key Responsibilities
1. Enterprise Data Modelling
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.
2.
Analytics Automation & AI
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.
3. Engineering Empowerment
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.
4. Technical Leadership & Modernisation
Act as a senior tec
📌 Analytics Team Lead (Mumbai)
🏢 Collinson Group
📍 Mumbai
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