What are the responsibilities and job description for the Technical Delivery Manager position at Mind Ware Inc?
Hiring for Technical Delivery Manager @ Montvale, NJ for a Full-time position.
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.