Technical Delivery Manager

Job Title:

Technical Delivery Manager

Job Type:

Hybrid (4 days on-site) Contract, W2 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.