Databricks Project Manager

Capgemini
New Brunswick, NJ, United States
7 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$120,000.0 - $155,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+10 more
Cloud Platform System Azure Data Factory Microsoft Fabric Data Lakes Information Technology Cloud Migration Azure Synapse Analytics Stream Analytics Data Pipelines Databricks

Job 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.

Requirements

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

Benefits & conditions

Life at Sogeti : Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexiblework options
  • 401(k)with 150% match up to 6%
  • EmployeeShare Ownership Plan
  • Medical,Prescription, Dental & Vision Insurance
  • LifeInsurance
  • 100%Company-Paid Mobile Phone Plan
  • 3Weeks PTO + 7 Paid Holidays
  • PaidParental Leave
  • Adoption,Surrogacy & Cryopreservation Assistance
  • SubsidizedBack-up Child/Elder Care & Tutoring
  • CareerPlanning & Coaching
  • $5,250Tuition Reimbursement & 20,000+ Online Courses
  • EmployeeResource Groups
  • Counseling& Support for Physical, Financial, Emotional & SpiritualWell-being
  • DisasterRelief Programs

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best www.sogeti.us

Disclaimer, Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 120k-155K

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company-s sole discretion, consistent with the law.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · World Congress 2024

Videos

See all

Related articles

See all