Engineering Manager

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 Responsibilitiesy

• 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

Good to Have

• Opportunity to lead high-impact data engineering initiatives for marquee clients
• Collaborative, fast-paced consulting environment
• Strong growth path into senior technical leadership roles