Lead Data Analytics Engineer

Collinson Group; Mumbai; Hybrid; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Hybrid work arrangement

26 calendar days Annual Leave

Health Insurance

Maternity leave (6 months- Paid)

Paternity leave (15 days- Paid)

Job summary

Collinson Group in Mumbai seeks a Senior Analytics Engineering leader to own enterprise data modelling, semantic layers and platform standards. You will guide multi-team efforts across Snowflake, dbt, SQL and Python, shaping scalable analytics architectures and reusable patterns.

You will mentor engineers, drive automation with GenAI and Cortex, and partner with the Head of Analytics Engineering to roadmap future capability.

Qualifications

• Strong hands-on analytics engineering with data modelling, Snowflake, dbt and SQL.
• Proven experience building automation and scalable analytics architectures.
• Strong technical leadership across multiple teams and mentoring senior engineers.
• Experience applying GenAI, LLMs or Snowflake Cortex to engineering automation.
• Hands-on, outcome-driven engineering leader who can design, build, and deliver production-ready solutions.

Responsibilities

• Lead enterprise data modelling across domain models and semantic layers.
• Drive analytics automation with AI, LLMs and Cortex to improve productivity.
• Create frameworks and reusable components enabling squads to deliver faster.
• Mentor engineers and shape the technical roadmap in partnership with leadership.

Skills

Data modelling

Snowflake

dbt

SQL

Analytics Engineering

Technical leadership

GenAI/LLMs

Automation engineering

Tools

Git/CI/CD

Python

Job description

Job Description:

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 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.

Key Technology Areas

• Snowflake
• DBT
• SQL
• Python
• Git/CI/CD
• Semantic Layers
• Data Contracts
• Data Quality & Observability
• Snowflake Cortex
• LLMs & AI Agents
• AWS

Skills & Experience

Must Have

• 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. This role requires an individual contributor mindset, someone who is 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.

About us: Our story

Collinson Group is a global leader in driving loyalty and engagement for many of the world’s largest companies. Predominantly through the provision of travel related benefits within a market leading digital travel ecosystem. The group offers a unique blend of industry and sector specialists who together provide market-leading experience in delivering products and services across four core capabilities: Loyalty, Lifestyle Benefits and Insurance.

The group provides unrivalled insight and expertise around affluent consumers and frequent travellers, creating and delivering products and services now accessible to over 400m end consumers.

We have more than 25 years’ experience, with 28 global locations, servicing over 800 clients in 170 countries, employing 1,800 people.

We have been bringing innovation to the market since inception - from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.

Key clients include: Visa, Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.

Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work.

Never short of ambition, the success of our business is delivered through the diverse and talented team of over 1,800 colleagues globally.

Equal Opportunities: Our commitment to inclusion

Collinson is an equal opportunity employer and welcomes differences in all their forms including: colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on-going success.

We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Act smarter, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.

If you need any extra support throughout the interview process, then please email us at [e-mail]

Reward & Benefits: What's in it for me?

• Hybrid work arrangement (work from home/office)
• 26 calendar days Annual Leave
• Health Insurance
• Maternity leave (6 months- Paid)
• Paternity leave (15 days- Paid)