Role Overview

We are seeking a hands-on Technical Delivery Manager to lead the end-to-end delivery of a modern data platform built on Azure. This role requires a strong blend of technical depth, delivery ownership, and client-facing leadership to drive execution across distributed teams while ensuring high-quality, scalable solutions.

 

Key Responsibilities

Delivery & Execution

• Own end-to-end delivery of data platform initiatives (design → build → deploy → operate)
• Drive sprint planning, execution, and tracking using Agile methodologies (JIRA)
• Ensure adherence to timelines, quality standards, and release commitments
• Manage dependencies, risks, and escalations proactively

Technical Leadership (Hands-on)

• Provide hands-on guidance in Databricks, Azure OneLake, PySpark, Python, and .NET
• Oversee data engineering pipelines, transformations, and performance optimization
• Drive CI/CD pipeline design and implementation for data and application components
• Ensure best practices in code quality, version control, testing, and deployment automation

Client & Stakeholder Management

• Act as the primary interface with client stakeholders, driving alignment and expectations
• Translate business requirements into technical solutions and delivery plans
• Present progress, risks, and outcomes to leadership in a clear, structured manner

Platform & Architecture

• Support architecture decisions for scalable, secure, and high-performance data platforms
• Enable integration across data, analytics, and application layers
• Ensure compliance with data governance, security, and enterprise standards

Team Leadership

• Lead and mentor cross-functional teams (data engineers, developers, DevOps)
• Foster a high-performance, accountable team culture
• Drive continuous improvement across delivery processes and engineering practices

Required Skills & Experience

• Strong hands-on experience with:
• Azure Databricks, Azure OneLake / Fabric
• PySpark, Python
• .NET (for integration/API layers)
• Proven experience in building and managing CI/CD pipelines (Azure DevOps / GitHub)
• Solid understanding of data platform architecture, ETL/ELT, and large-scale data processing
• Experience with Agile delivery (Scrum/Kanban) and tools like JIRA
• Strong client-facing communication and stakeholder management skills
• Ability to operate at both strategic and execution levels

Preferred Qualifications

• Experience with Microsoft Fabric ecosystem, Databricks
• Exposure to data governance, data quality, and metadata management frameworks
• Familiarity with AI/ML integration in data platforms

Success Profile

• Execution-focused leader who can drive outcomes, not just manage tasks
• Technically credible and comfortable being hands-on when needed
• Strong communicator who can bridge business and technology seamlessly
• Able to simplify complexity and lead large-scale data initiatives effectively

This role is critical to delivering a next-generation, AI-ready data platform, and requires someone who can combine deep technical expertise with disciplined delivery leadership.