Data Engineering Manager | Snowflake, Kafka, Airflow & AI-Enabled Data Platforms | Navi Mumbai

Morningstar; Navi Mumbai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Morningstar India seeks a Data Engineering Manager to lead a team within the Enterprise Data Platform. You will architect and optimize data pipelines, data models, and governance to enable data-driven decision making across the organization.

You’ll collaborate with Technology, Product, Sales, Marketing and Finance to deliver scalable data solutions and AI-ready analytics. A hands-on leader, you’ll mentor engineers, shape the data platform roadmap, and drive excellence in data quality and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of data engineering experience with at least 2–3 years in leadership.
• Experience designing and maintaining large-scale data architectures, pipelines, and data models in cloud environments.
• Strong SQL and Python skills for data manipulation and automation.
• Proven ability to lead teams and collaborate with cross-functional partners.

Responsibilities

• Lead, mentor, and retain a high-performing data engineering team.
• Define and drive the data engineering roadmap aligned with enterprise data strategy.
• Collaborate with technology and business leaders to set data platform priorities.
• Oversee design, development, and maintenance of data pipelines and ELT/ETL workflows.
• Ensure scalable, secure data architectures using Snowflake and cloud services.
• Lead AI learning initiatives and integrate AI/ML into data products.
• Champion data quality, governance, and compliance.
• Partner with engineering to optimize storage, compute, and cost.
• Support career development and performance feedback.
• Promote culture of innovation and customer empathy.

Skills

Leadership

SQL

Python

Airflow

Kafka

Cloud architectures

Data governance

Stakeholder management

Communication

Mentoring

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Snowflake

AWS

Azure

GCP

Airflow

Kafka

Docker

Job description

Location: Vashi, Navi Mumbai (4 days working from office)

Work Timings: Work from office (12:00pm to 5:00pm) and then support remotely (7:30pm to 10:30pm)

Job Description

As a Data Engineering Manager within the Enterprise Data Platform team at PitchBook, you will lead a team of skilled data engineers responsible for building and optimizing data pipelines, managing large-scale data models, and ensuring the quality, availability, and performance of enterprise data assets. This leadership role combines technical depth, strategic thinking, and people management to enable PitchBook’s data-driven decision-making and analytics capabilities.

You’ll collaborate closely with cross-functional partners across Technology & Engineering, Product, Sales, Marketing, Research, Finance, and Administration to deliver robust, scalable data solutions. The ideal candidate is a hands-on leader with a strong background in modern data platforms, cloud architecture, and team development—someone passionate about empowering teams and improving data capabilities across the organization. A core part of this role is shaping an analytics environment that is built for AI agents as much as for people. Our analysts, executives and AI agents should all query the same governed, documented, well-described data and get the same answers. You will lead the team to make that real, with semantic layers, governed metrics, rich metadata, agent-safe access, and evaluation of agent output, and in using agents to build faster and with higher quality.

This is both a strategic and hands-on leadership role: you will guide architectural decisions, mentor engineers, collaborate with cross-functional leaders, and contribute to building next-generation data and AI capabilities at PitchBook. You will exhibit a growth mindset, be willing to solicit feedback, engage others with empathy, and help create a culture of belonging, teamwork, and purpose. If you love leading a team of passionate data engineers, building data-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us!

Primary Job Responsibilities

• Lead, mentor, retain top talent and develop a team of data engineers, fostering a culture of excellence, accountability, and continuous improvement
• Define and drive the data engineering roadmap aligned with enterprise data strategy and business objectives
• Collaborate with senior technology and business leaders to define data platform priorities, architecture, and long-term vision
• Promote a culture of innovation, operational rigor, and customer empathy within the data organization
• Oversee the design, development, and maintenance of high-quality data pipelines and ELT/ETL workflows across enterprise systems and PitchBook’s platform
• Ensure scalable, secure, and reliable data architectures using modern cloud technologies (e.g., Snowflake, Airflow, Kafka, Docker)
• Lead AI learning initiatives and integrate AI/ML-driven solutions into data products to enhance automation, predictive insights, and decision intelligence
• Champion data quality, governance, lineage, and compliance standards across the enterprise data ecosystem
• Partner with engineering and infrastructure teams to optimize data storage, compute performance, and cost efficiency
• Support career development through mentoring, skill-building, and performance feedback

Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 8+ years of experience in data engineering or related roles, including at least 2–3 years of leadership experience managing technical teams
• Proven experience designing and maintaining large-scale data architectures, pipelines, and data models in cloud environments (e.g., Snowflake, AWS, Azure, or GCP)
• Advanced proficiency in SQL and Python for data manipulation, transformation, and automation
• Deep understanding of ETL/ELT frameworks, data orchestration tools (e.g., Airflow), and distributed messaging systems (e.g., Kafka)
• Strong knowledge of data governance, quality, and compliance frameworks
• Experience working with enterprise data sources (CRM, ERP, Marketing Automation, Financial Systems, etc.) is preferred
• Hands-on experience with AI/ML platforms, model deployment, or data-driven automation is a strong plus
• Excellent communication and stakeholder management skills with the ability to translate complex data concepts into business value
• Demonstrated ability to build high-performing teams and lead through change

Working Conditions

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

Morningstar India is an equal opportunity employer