Delivery Manager- Data Engineer

Job Title: Delivery Manager Data Engineering

Location: Pune, Mumbai, remote

Experience: 10+ years

Employment Type: Full-time

About Go Digital Technology Consulting LLP:

Go Digital Technology Consulting LLP is a data-driven technology consulting firm specializing in digital transformation, data engineering, and big data analytics for Fortune 1000 clients across North America and the Middle East.

About the Role:

We are seeking an experienced Delivery Manager Data Engineering to lead and oversee the delivery of complex, large-scale data initiatives across cloud and modern data platforms. The ideal candidate will combine strong delivery management skills with deep expertise in data engineering, cloud technologies, and modern data architectures, ensuring successful outcomes for our global clients.

Key Responsibilities:

Project & Delivery Management

• Lead end-to-end delivery of data engineering, migration, and analytics projects across multiple clients and domains.
• Develop detailed project plans, manage budgets, and ensure adherence to timelines, scope, and quality.
• Proactively identify risks, dependencies, and bottlenecks and drive timely resolution.
• Oversee governance, documentation, and reporting for all active engagements.

Team Leadership & Resource Management

• Lead and mentor cross-functional teams including data engineers, solution architects, and QA specialists.
• Manage resource allocation across multiple concurrent projects and optimize team productivity.
• Build a culture of excellence, accountability, and continuous improvement.

Client & Stakeholder Management

• Act as the primary point of contact for clients, driving project alignment with business objectives.
• Collaborate closely with client stakeholders to understand requirements and translate them into scalable data solutions.
• Deliver executive-level reporting and ensure client satisfaction throughout the delivery lifecycle.

Technical & Strategic Oversight

• Partner with architects and technical leads to design robust, scalable data lakehouse and warehouse architectures.
• Drive adoption of Databricks, Delta Lake, and cloud-native data solutions (AWS, Azure, GCP).
• Ensure best practices in ETL/ELT design, data governance, security, and operational excellence.
• Support pre-sales and solutioning activities for new client engagements as required.

Process & Quality Management

• Implement Agile/Iterative delivery frameworks and enforce delivery excellence standards.
• Track key delivery metrics (velocity, quality, cost, client satisfaction) and ensure continuous optimization.
• Uphold compliance with Go Digitals delivery methodology, documentation, and governance standards.

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• 10+ years of total experience, with at least 4+ years in project or delivery management for data or cloud-based projects.
• Proven experience in managing enterprise-scale data engineering programs on platforms like Databricks, Azure, AWS, or GCP.

• Strong understanding of:

• ETL/ELT pipelines, data lakes, and data warehousing architectures.

• Spark, PySpark, SQL, and distributed data processing frameworks.

• CI/CD, DevOps, and DataOps methodologies.

• Excellent stakeholder management, leadership, and communication skills.

• Experience working in onshore-offshore delivery models within a consulting setup.
• PMP, CSM, or Agile certification preferred.

Preferred Experience:

• Hands-on exposure to AWS
• Experience in data modernization, migration, or cloud transformation programs.
• Familiarity with data governance, lineage, and cataloging tools (e.g., Unity Catalog, Collibra).
• Prior experience in a client-facing consulting role managing Fortune 1000 engagements.

What We Offer:

• Opportunity to lead data-driven transformation projects for global enterprises.
• Exposure to cutting-edge cloud and data technologies through our Databricks partnership.
• Collaborative, innovation-oriented culture with a focus on career growth and learning.
• Competitive compensation with performance-based growth opportunities.