Technical Project Manager

Capgemini • Toronto, ON

4d • CA$83,335 - CA$90,909 • Onsite

About The Position

We are seeking an experienced Technical Project Manager with strong Big Data expertise to lead the planning, execution, and delivery of data-driven 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 high-quality delivery.

Requirements

• 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 Agile/Scrum projects.
• Hand-on experience or familiarity with Apache Spark, Hadoop, Kafka.
• SQL and NoSQL databases.
• Cloud-based data services (Azure Data Factory, AWS Glue, etc.).
• Strong technical and analytical skills.
• Excellent communication and stakeholder management.
• Leadership and team coordination abilities.
• Problem-solving and decision-making skills.
• Risk management and prioritization.
• Ability to translate business requirements into technical solutions.

Nice To Haves

• PMP, Scrum Master (CSM), or equivalent certification.
• Experience with AI/ML data pipelines or advanced analytics projects.
• Familiarity with DevOps and CI/CD practices.
• Knowledge of data governance frameworks and compliance standards (e.g., GDPR).

Responsibilities

• Lead end-to-end 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.
• Collaborate with data engineers, architects, and analysts to design scalable Big Data solutions.
• Understand and guide implementation of data pipelines, ETL processes, and real-time data streaming.
• Ensure best practices in data governance, security, and compliance.
• Review technical designs and provide recommendations to improve performance, solutions, and scalability.
• Act as a liaison between business, engineering, and senior leadership.
• Gather and translate business requirements into technical specifications.
• Facilitate effective communication across distributed teams.
• Manage projects involving technologies such as Hadoop ecosystem (HDFS, Hive, Spark), Cloud platforms (Azure, AWS, GCP), Data warehouses (Snowflake, Redshift, BigQuery), and Streaming tools (Kafka, Flink).
• Drive adoption of modern data architecture practices such as data lakes and lakehouse solutions.
• Ensure high-quality deliverables through testing, validation, and performance tuning.
• Monitor KPIs, SLAs, and project success metrics.
• Promote continuous improvement and process optimization.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior