Job Summary:

We are seeking an experienced Technical Project Manager with strong Big Data expertise to lead the planning execution and delivery of datadriven initiatives The ideal candidate will bridge the gap between business stakeholders and technical teams managing complex data engineering and analytics projects while ensuring timely and highquality delivery

Key Responsibilities:

Project Management

• Lead endtoend delivery of Big Data and analytics projects across multiple teams
• Define project scope goals timelines and deliverables aligned with business objectives
• Manage project risks dependencies and resource allocation
• Track progress and provide regular project status updates to stakeholders
• Ensure adherence to Agile Scrum or hybrid project management methodologies

Technical Leadership

• Collaborate with data engineers architects and analysts to design scalable Big Data
• Understand and guide implementation of data pipelines ETL processes and realtime data streaming
• Ensure best practices in data governance security and compliance
• Review technical designs and provide recommendations to improve performance solutions and scalability

Stakeholder Management

• Act as a liaison between business engineering and senior leadership
• Gather and translate business requirements into technical specifications
• Facilitate effective communication across distributed teams

Data Big Data Platform Oversight

• Manage projects involving technologies such as
• Hadoop ecosystem HDFS Hive Spark
• Cloud platforms Azure AWS GCP
• Data warehouses Snowflake Redshift BigQuery
• Streaming tools Kafka Flink
• Drive adoption of modern data architecture practices such as data lakes and lakehouse solutions

Quality Delivery

• Ensure highquality deliverables through testing validation and performance tuning
• Monitor KPIs SLAs and project success metrics
• Promote continuous improvement and process optimization

Required Qualifications:

• Bachelors or Masters degree in Computer Science Engineering Data Science or related field
• 7 years of experience in IT with 3 years managing Big Data or data engineering projects
• Strong understanding of data architectures ETL processes and distributed systems
• Proven experience managing AgileScrum projects
• Handson experience or familiarity with
• Apache Spark Hadoop Kafka
• SQL and NoSQL databases
• Cloudbased data services Azure Data Factory AWS Glue etc

Preferred Qualifications:

• PMP Scrum Master CSM or equivalent certification
• Experience with AIML data pipelines or advanced analytics projects
• Familiarity with DevOps and CICD practices
• Knowledge of data governance frameworks and compliance standards eg GDPR

Key Skills:

• Strong technical and analytical skills
• Excellent communication and stakeholder management
• Leadership and team coordination abilities
• Problemsolving and decisionmaking skills
• Risk management and prioritization
• Ability to translate business requirements into technical solutions

Tools Technologies:

• Project Management Jira Azure DevOps MS Project
• Data Platforms Hadoop Spark Snowflake
• Cloud Azure AWS or GCP
• Programming Python SQL preferred
• Visualization Power BI Tableau nice to have

The base compensation range for this role in the posted location is: 83,335 to 90,909

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility