Job Description

We are looking for a Data Engineering Manager - Pharma to lead a team of data engineers building scalable data platforms pipelines and analytics infrastructure for our clients. This role blends hands-on technical leadership with people management requiring someone who can architect solutions mentor engineers and engage directly with client stakeholders.

Key Responsibilities

- Lead mentor and grow a team of data engineers (typically 8-12 members) across multiple client engagements
- Own end-to-end delivery of data and AI engineering projects for pharma clients - architecture design development and deployment
- Collaborate with clients and cross-functional teams (brand teams commercial teams data science analytics product) to translate business requirements into scalable data solutions
- Drive techno-functional decision-making related to data source gaps business rules dependencies scope boundaries etc required for a successful delivery
- Manage project timelines resource allocation and delivery risk across concurrent engagements
- Conduct code/architecture reviews and ensure adherence to performance security and scalability standards
- Define and enforce best practices for data pipeline development code quality and CI/CD across the team
- Own hiring performance reviews and career development for the team




- Stay current on emerging data engineering trends of AI enablement and evangelize adoption where relevant

Required Skills & Experience

- 8 years of overall experience with 6 years in a data engineering leadership/management capacity
- Exposure to at pharma commercial function and robust understanding of related datasets and nuances
- Deep expertise in at least two major cloud platform (AWS Snowflake Databricks)
- Proven experience architecting and delivering large-scale enterprise grade data solution building data marts data modelling pipelines data services CI/CD enabling consumption.
- Strong stakeholder management and client-facing consulting experience
- Excellent communication skills - able to translate technical concepts for both engineering and business audiences
- Track record of building scaling and retaining high-performing engineering teams

Good to Have

- Experience in a consulting or professional services environment
- Exposure to data governance security and compliance frameworks

What We Offer

- Opportunity to lead high-impact data engineering initiatives for marquee clients
- Collaborative fast-paced consulting environment

Strong growth path into senior technical leadership roles

Required Experience:

Manager

📌 Engineering Manager Pharma (Bengaluru)
🏢 MathCo India
📍 Bengaluru