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Technical Delivery Manager

Job

Reliable Software Resources

Montvale, NJ (In Person)

Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 6/29/2026

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Job Description

This is Srikanth from Reliable Software. We currently have an opportunity with one of our direct clients and would like to share the details with you. Please review the information below and let me know if you are interested. If you would like to be considered, kindly share your updated resume at
Job Title:
Technical Delivery Manager Location:
Montvale, NJ (hybrid onsite) 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
Educational Qualifications:
Required - Bachelor s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent. Preferred - Master s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.
Travel:
  • Open to travel based up on the nature of the engagement.
Thanks & Regards Srikanth Donkani Resource Manager |
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9001 | 27001 Equal Employment Opportunity Reliable Software employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law. Employment decisions are based solely on qualifications, merit and business needs.