Technical Delivery Manager
About The Position
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. 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.
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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
