Senior Data Engineer - Azure

Capgemini; Fremont (CA); Hybrid; USD 133,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Job summary

Capgemini is hiring a Senior Data Engineering Lead in Fremont, CA for a hybrid role. The candidate will oversee data warehousing and lakehouse projects, mentor teams, and collaborate with stakeholders to deliver scalable Azure-based data solutions.

The role requires 8+ years in data engineering, strong Python/PySpark/SQL skills, and deep experience with Azure data services and modern data architectures.

Qualifications

• Minimum 8+ years of experience in data engineering and data warehousing.
• Experience with Azure cloud services and data lake architectures.
• Strong leadership, stakeholder management, and project delivery ability.

Responsibilities

• Lead data engineering initiatives and development teams.
• Design and drive data warehousing and lakehouse solutions on Azure.
• Mentor teammates and manage project timelines and quality deliverables.

Skills

Python

PySpark

SQL

Azure Cloud

Data Modeling

Tools

Databricks

Azure Synapse

Azure SQL

Redshift

Snowflake

BigQuery

Job description

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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location

This is a hybrid role based in Fremont, CA.

About the role

We are seeking a highly experienced Senior Data Engineering Lead with minimum 8+ years' experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts.

Responsibilities & Skills

• Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 8 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.
• Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
• Must be able to implement Medallion Architecture for data management.
• Lead development teams, drive project timelines, and ensure high-quality deliverables.
• Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL.
• Azure Expertise: Proficient in Microsoft Azure Cloud Services.
• Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling.
• Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management.
• Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc.
• Analytical Skills: Strong analytical and problem-solving skills.

Compensation

The base compensation range for this role in the posted location is: $133,000 - $150,000. 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.

Benefits

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

Equal Opportunity Statement

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.

Accommodations

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.

Company Overview

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.