Engineering Manager

Job Description

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 modern 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