We are looking for an experienced Technical Project Manager with robust expertise in Databricks, Data Engineering, and Cloud technologies. The candidate will be responsible for managing end-to-end data and analytics projects, coordinating with technical teams and stakeholders, and ensuring timely and quality delivery.
Key Responsibilities:
Manage end-to-end delivery of Data Engineering / Databricks projects.
Lead and coordinate cross-functional technical teams, including Data Engineers, Architects, and Developers.
Robust hands-on understanding of Databricks, PySpark, Spark, SQL, and data pipelines.
Experience working with Azure/AWS/GCP cloud platforms and modern data architecture.
Manage project scope, timelines, risks, dependencies, and deliverables.
Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
Work closely with Data Architects and Engineering teams on solution design and implementation.
Monitor project progress,
identify risks/issues, and drive mitigation plans.
Conduct regular project status meetings and provide updates to senior stakeholders.
Ensure adherence to Agile/Scrum methodologies and project governance standards.
Support technical discussions, design reviews, and production implementation.
Mandatory Skills:
14–19 years of overall IT experience
Strong experience in Technical Project Management
Strong experience with Databricks
Positive understanding of Data Engineering / Data Warehousing
Experience with Spark / PySpark / SQL
Experience with at least one cloud platform – Azure / AWS / GCP
Strong stakeholder and team management skills
Experience in Agile/Scrum methodology
Excellent communication and problem-solving skills
Preferred:
Databricks certification
Experience managing large-scale data transformation/cloud migration projects
Knowledge of Delta Lake, Azure Data Factory, Airflow, Kafka or similar data technologies
Experience working with enterprise/global clients
📌 Senior Project Manager Kolkata (India)
🏢 NR Consulting
📍 India
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