Technical Project Manager - Data Engineering

Overview

We are seeking an experienced Technical Project Manager with strong hands-on exposure to Databricks and Data Engineering projects to manage end-to-end delivery in a client-facing environment. The ideal candidate will bridge business and technical teams, ensuring timely, high-quality delivery of complex data initiatives.

Key Responsibilities

• Lead and manage end-to-end delivery of data engineering and analytics projects from planning to closure
• Drive project execution using Agile / Scrum methodologies
• Manage Databricks-based data engineering solutions across cloud platforms
• Coordinate with data engineers, architects, QA, DevOps, and business stakeholders
• Define project scope, timelines, milestones, dependencies, and deliverables
• Track and manage risks, issues, dependencies, and change requests
• Ensure adherence to delivery governance, quality standards, and best practices
• Conduct client interactions, status reviews, and steering committee meetings
• Prepare and maintain project documentation, reports, and dashboards
• Ensure successful delivery of ETL pipelines, data ingestion, transformation, and analytics solutions
• Manage resource allocation, capacity planning, and team performance
• Ensure compliance with security, data governance, and cloud best practices
  
  

• Strong experience managing Data Engineering / Analytics projects
• Hands-on exposure to :
• Databricks
• Apache Spark
• Big Data ecosystems
• Experience with ETL processes, data pipelines, and data warehousing
• Cloud platforms :
• AWS / Azure / GCP (at least one)
• Understanding of :
• Data lakes, lakehouse architecture
• Batch and streaming data processing
• Familiarity with DevOps / CI-CD pipelines is a plus
  
  

• Proven experience in Agile / Scrum project management
• Strong knowledge of :
• Sprint planning
• Backlog grooming
• Daily stand-ups
• Sprint reviews & retrospectives
• Experience with project management tools such as :
• Jira, Confluence, Azure DevOps, MS Project, or similar
• Excellent risk management, dependency tracking, and issue resolution skills
  
  

• Strong stakeholder management and client-facing experience
• Ability to communicate effectively with technical and non-technical stakeholders
• Proven leadership skills to guide cross-functional teams
• Strong decision-making and problem-solving abilities
• Ability to manage multiple projects and priorities in parallel
  
  

• Background in data platforms or big data technologies
• Exposure to DevOps, CI/CD, or MLOps
• Experience working with global or enterprise clients
• Prior experience in consulting or system integration environments
  
  

• Bachelors degree in Engineering, Computer Science, or related field
• PMP / Scrum Master / Agile certifications are an added advantage
  
  

(ref:hirist.tech)