Technical Delivery Manager

Orion InnovationEdison, NJ

About The Position

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.

Requirements

  • 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

Nice To Haves

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

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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
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