Senior Fabric Lead Data Engineer

Capgemini; Vancouver; Hybrid; CAD 149,000 - 175,000; Full time

Job summary

Capgemini in Vancouver, BC, seeks a senior Data Engineer / Solution Architect to design enterprise-scale data architectures using Microsoft Fabric and lead design reviews in a hybrid office setting. The role requires 10-15 years of data engineering experience and 3+ years of hands-on Fabric expertise.

The candidate will build scalable ELT frameworks with Fabric Data Factory, Spark Notebooks, Lakehouse and OneLake, develop data pipelines for batch and near real-time processing, and mentor junior

Qualifications

• 10-15 years data engineering experience.
• 3+ years hands-on Microsoft Fabric experience.

Responsibilities

• Design enterprise-scale data architecture using Microsoft Fabric components.
• Lead technical design reviews and architecture discussions.
• Establish data engineering standards, best practices, and governance frameworks.
• Design scalable ELT frameworks using Fabric Data Factory, Spark Notebooks, Lakehouse.
• Build high-volume customer data pipelines supporting batch and near real-time processing.
• Implement reusable ingestion and transformation frameworks.
• Optimize large-scale workloads for performance and cost efficiency.
• Design data quality frameworks and monitoring solutions.
• Implement lineage, governance, and metadata management standards.
• Mentor junior and mid-level data engineers.
• Lead code reviews and solution governance activities.
• Drive Agile delivery and sprint planning activities.

Skills

Data architecture

Team leadership

Agile delivery

Code reviews

Tools

Microsoft Fabric

Data Factory

Spark Notebooks

OneLake

Lakehouse

Job description

It is mandatory to live in Vancouver no time to relocation to work hybrid in our office.

Experience - 10-15 Years Data Engineering experience with 3+ years of hands‑on Microsoft Fabric experience.

Key Responsibilities

Solution Architecture & Leadership

• Design enterprise-scale data architecture using Microsoft Fabric components.
• Lead technical design reviews and architecture discussions.
• Establish data engineering standards, best practices, and governance frameworks.

Advanced Data Engineering

• Design scalable ELT frameworks using Fabric Data Factory, Spark Notebooks, Lakehouse,

Warehouse and OneLake

• Build high-volume customer data pipelines supporting batch and near real-time processing.
• Implement reusable ingestion and transformation frameworks.
• Optimize large-scale workloads for performance and cost efficiency.

Data Governance & Security

• Design data quality frameworks and monitoring solutions.
• Implement lineage, governance, and metadata management standards.

Team Leadership

• Mentor junior and mid-level data engineers.
• Lead code reviews and solution governance activities.
• Drive Agile delivery and sprint planning activities.

The base compensation range for this role in the posted location is $149,387 to $174,928.

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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.