Description :

Role 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

Technical Skills Required :

- 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

Project & Delivery Skills :

- 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

Stakeholder & Leadership 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

Good to Have :

- 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

Educational Qualifications :

- Bachelors degree in Engineering, Computer Science, or related field

- PMP / Scrum Master / Agile certifications are an added advantage