Engineering Manager

: Engineering Manager, Data Engineering (Engagement Lead)

About the Role

Key Responsibilities

• Own delivery of every workstream in the engagement, including scope, timelines, quality, budget, and outcomes.
• Plan and run the engagement roadmap, turning client business goals into clear milestones and releases.
• Keep track of risks, dependencies, and issues. Escalate early and resolve them before they affect delivery.
• Set up delivery governance, including status reporting, sprint cadence, RAID logs, change control, and success metrics.
• Keep margins and resourcing healthy across the engagement.

• Act as the main point of contact for client stakeholders, from engineering leads up to directors and executives.
• Lead steering committee meetings, weekly status reviews, and executive readouts with clear, concise communication.
• Manage expectations, negotiate scope changes, and handle difficult conversations professionally.
• Find opportunities to grow the account by delivering consistently and showing a clear understanding of the client's business.

• Work with architects and engineers on solution design, technical trade-offs, and delivery approach.
• Review data architecture, pipeline design, and data quality practices so they hold up at scale.
• Push for engineering best practices, including CI/CD, testing, documentation, and code review.
• Bring enough technical depth to question estimates, unblock the team, and make informed decisions.

• Lead, mentor, and grow a cross-functional team of data engineers, analysts, and QA, both onshore and offshore.
• Build a culture of ownership, accountability, and continuous improvement.
• Support hiring, onboarding, and performance management for the engagement team.

Required Qualifications

• 12+ years in software or data engineering, including 4+ years managing delivery at the engagement or program level.
• A strong technical background, ideally with hands-on engineering experience earlier in your career.
• A proven record of owning end-to-end delivery for client-facing engagements, including managing multiple workstreams at once.
• Excellent verbal and written communication, with confidence presenting to senior and executive stakeholders.
• Experience managing distributed or onshore/offshore teams.
• Strong command of delivery methods (Agile/Scrum, hybrid) and governance practices.

Preferred Qualifications

• Experience managing data engineering, data platform, or data modernization projects.
• Familiarity with modern data stack tools such as Snowflake, Databricks, dbt, Azure Data Factory, SnapLogic, or similar.
• Understanding of cloud platforms (Azure, AWS, or GCP) and data warehousing and lakehouse concepts.
• Background in consulting or IT services, managing client accounts.
• PMP, CSM, SAFe, or similar certifications.

What Success Looks Like

• The client sees you as a trusted partner, not just a vendor.
• Deliverables are predictable, high quality, and well communicated.
• The team is engaged, keeps its people, and grows over time.
• The engagement stays healthy financially and has a clear path to expand.