We are looking for a Data Engineering Manager 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 6-12 members) across multiple client engagements
- Own end-to-end delivery of data engineering projects — architecture, design,

development, and deployment
- Define and enforce best practices for data pipeline development, code quality, and

CI/CD across the team

- Collaborate with clients and cross-functional teams (data science, analytics, product)

to translate business requirements into scalable data solutions
- Drive technical decision-making on cloud platform selection, data architecture

(batch/streaming), and tooling
- Manage project timelines, resource allocation, and delivery risk across concurrent engagements
- Conduct code/architecture reviews and ensure adherence to performance, security,

and scalability standards




- Own hiring, performance reviews, and career development for the team

Stay current on emerging data engineering trends (Databricks, Spark, cloud-native tools, MLOps) and evangelize adoption where relevant

Required Skills & Experience

- 10+ years of overall experience, with 4+ years in a data engineering leadership/management capacity
- Strong hands-on background in Spark, distributed computing, and up-to-date data platforms (Databricks preferred)
- Deep expertise in at least one major cloud ecosystem (AWS, Azure, or GCP); working knowledge of a second is a plus
- Proven experience architecting and delivering large-scale data pipelines (batch and streaming)
- Experience with CI/CD practices and MLOps fundamentals
- Strong stakeholder management and client-facing consulting experience
- Track record of building, scaling, and retaining high-performing engineering teams
- Excellent communication skills — able to translate technical concepts for both engineering and business audiences

📌 Engineering Manager (Bengaluru)
🏢 MathCo
📍 Bengaluru