Senior Data Modeller

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Responsibilities:

· Lead the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake.
· Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.
· Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
· Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals.
· Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions.
· Drive automation, data quality, and best practices across all data engineering processes and solutions.
· Ensure robust data governance, security, and compliance throughout the data lifecycle.
· Manage stakeholder relationships, communicate project status, and proactively address risks and challenges.
· Champion the adoption of new technologies and methodologies to enhance data capabilities and business value.

Required Technical Skills:

· 10+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions.
· Deep expertise in SQL, data modelling, ETL, and building scalable data pipelines.
· Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.
· Strong hands-on experience with Python, Shell scripting, and workflow automation.
· Demonstrated experience leveraging GenAI, LLMs, or AI/ML solutions for enterprise data, reporting, and analytics use cases.
· Proven ability to lead, motivate, and develop high-performing teams.
· Strong domain and functional knowledge in finance, investment banking, or related industries.
· Excellent problem-solving, analytical, and communication skills.
· Experience managing stakeholder relationships and delivering complex projects in a global environment.
· Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.

Additional Skills (Good to Have):

· Familiarity with Power BI, Apache Airflow, and OLAP tools.
· Exposure to regulatory and financial reporting requirements.
· Demonstrated track record of driving innovation and GenAI adoption in data engineering projects.
· Passion for continuous learning, business impact, and solution-oriented leadership.

The base compensation range for this role in the posted location is: 103,330 - 128,656

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