The Role
Owns end-to-end delivery for strategic data engineering client engagements, including scope, timelines, quality, budget, risks, governance, and outcomes. Serves as the primary senior client contact, leads executive communications, manages scope and account growth, and provides technical oversight of data architecture, pipelines, quality, and engineering practices. Leads distributed cross-functional teams, supports hiring and performance management, and ensures healthy engagement margins and predictable delivery.
Summary Generated by Built In
Job Description: Engineering Manager, Data Engineering (Engagement Lead)
Location: HYD | Experience: 12+ years | Employment Type: Full-time
About the RoleWe're looking for a seasoned Engineering Manager to own a strategic client engagement from start to finish. You'll be the single point of accountability for all deliverables. You'll 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 isn't a pure project management role.
Key ResponsibilitiesEngagement 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 client's 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.
- 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.
- 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.
- 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.
Skills Required
- 12+ years of experience in software or data engineering
- 4+ years managing delivery at the engagement or program level
- Strong technical background, ideally including earlier hands-on engineering experience
- Proven experience owning end-to-end delivery for client-facing engagements with multiple workstreams
- Excellent verbal and written communication with senior and executive stakeholders
- Experience managing distributed or onshore/offshore teams
- Strong command of Agile/Scrum or hybrid delivery methods and governance practices
- Experience managing data engineering, data platform, or data modernization projects
- Familiarity with Snowflake, Databricks, dbt, Azure Data Factory, SnapLogic, or similar tools
- Understanding of Azure, AWS, or GCP and data warehousing and lakehouse concepts
- Consulting or IT services background managing client accounts
- PMP, CSM, SAFe, or similar certification
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
