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 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

Good to Have

• Databricks / cloud certifications (Data Engineer Professional Solutions Architect etc.)
• Experience in a consulting or professional services environment
• Exposure to data governance security and compliance frameworks
• Prior experience mentoring engineers into senior/lead roles

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

Required Experience:

Manager