Engineering Manager - Pharma

PeopleStrong; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

PeopleStrong seeks a Data Engineering Manager - Pharma to lead a team of data engineers building scalable data platforms, pipelines, and analytics infrastructure for pharma clients. This role blends hands-on technical leadership with people management, requiring architecture, mentoring, and direct client engagement.

You will own end-to-end delivery across multiple engagements, drive best practices for data pipelines, CI/CD, and data governance, while staying up-to-date with AI-enabled data

Qualifications

• 8+ years of overall experience in data engineering with 6+ years in leadership/management roles.
• Exposure to pharma commercial data and related datasets.
• Strong client-facing consulting experience and stakeholder management.

Responsibilities

• Lead and grow a data engineering team (8-12 engineers) across client projects.
• Own end-to-end delivery of data/AI engineering initiatives for pharma clients.
• Translate business requirements into scalable data solutions with cross-functional teams.
• Drive architectural decisions, data source gaps, and CI/CD practices.
• Oversee project timelines, resources, and risk across engagements.
• Mentor engineers, handle hiring, reviews, and career development.

Skills

Leadership

Stakeholder management

Communication

People management

Data engineering leadership

Cloud platform experience

Tools

AWS

Snowflake

Databricks

Job description

Engineering Project Management Project Engineering AWS Pharma Healthcare

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 strong 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