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# Databricks Project Manager

- **Company:** Capgemini
- **Location:** New Brunswick, NJ, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Database, Information Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Machine Learning, Software Engineering, Cloud Platform System, Azure Data Factory, Microsoft Fabric, Data Lakes, Information Technology, Cloud Migration, Azure Synapse Analytics, Stream Analytics, Data Pipelines, Databricks
- **Published:** August 30, 2026
- **Apply:** https://dejobs.org/x/x/A5DAC5AC1A764E1B880C49C65E009211/job/

## About the Role

* Bachelor-s or Master-s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field.

## Description

* Leadthe end-to-end delivery of Azure Databricks, data engineering, analytics,and AI initiatives, ensuring projects are completed on time, within scope,and within budget while delivering measurable business value.
 * Partnerwith solution architects, data engineers, data scientists, businessstakeholders, and executive sponsors to define project objectives, successcriteria, delivery roadmaps, and implementation plans.
 * Driveplanning, execution, and governance of complex data platform modernizationprojects, including data migration, data warehousing, real-time analytics,machine learning, and cloud transformation initiatives.
 * Coordinatecross-functional teams across technical and business domains, ensuringalignment on priorities, dependencies, resource allocation, and deliverymilestones.
 * Serveas the primary liaison between technical delivery teams and businessstakeholders, translating complex technical concepts into clear businessoutcomes and actionable decisions.

What you will bring:

 * 6+years of project or delivery management experience leading enterprisedata, analytics, business intelligence, or data engineering initiatives.
 * Provenexperience delivering cloud-based data platform projects using AzureDatabricks, Azure Data Factory, Azure Synapse, Microsoft Fabric, orsimilar modern data technologies.
 * Strongunderstanding of data engineering concepts, data lakes, data warehouses,ETL/ELT pipelines, cloud architectures, and AI/ML solution delivery.
 * Experiencemanaging project scope, schedules, risks, dependencies, and stakeholdercommunications across multiple workstreams.


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