Engineering Manager

Engineering Manager, Data Engineering (Engagement Lead)

Location: HYD | Experience: 12+ years | Employment Type: Full-time

About the Role

Were looking for a seasoned Engineering Manager to own a strategic client engagement from start to finish. Youll be the single point of accountability for all deliverables. Youll lead a data engineering team, manage client stakeholders at every level, and make sure the work is delivered with quality, on time, and in a way that builds long-term client trust. The engagement is heavily focused on data engineering, so you need a real technical foundation. This isnt a pure project management role.

Key Responsibilities

Engagement ownership and delivery

• 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.

Stakeholder management and communication

• 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 clients business.

Technical leadership

• 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.

People leadership

• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.