Managing Software Engineer - Google Cloud Data Engineering Solution Architect

Capgemini

Full-time - Senior

10,001+ employees

Professional, Scientific, and Technical Services

About the position

Capgemini is seeking a GCP Data Engineer to join the I&D team, responsible for designing and implementing Google Cloud data solutions. The role involves developing cloud data strategies, providing technical leadership, and ensuring compliance with security regulations while optimizing data performance and reliability.

Responsibilities

• Own the architectural design and implementation of end-to-end Google cloud data solutions, data warehouses, and data pipelines.
• Develop and maintain the cloud data strategy, ensuring alignment with overall business objectives and technology roadmap.
• Provide technical leadership and mentorship to data engineering teams, ensuring best practices and standards are followed.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Evaluate and recommend new Google service offerings to customers as per best fit.
• Ensure the performance, scalability, and reliability of data solutions through continuous monitoring and optimization.
• Ensure data solutions comply with security and privacy regulations and best practices.
• Develop and maintain comprehensive architectural documentation.

Requirements

• 10+ years of experience in data engineering, with at least 4 years in a solution architect role focusing on Google cloud data solutions.
• Delivered at least 2 Multi-Terabyte GCP Data projects.
• Should have GCP Data Engineering Certification.
• Good knowledge of DWH Migration to GCP BigQuery platform.
• Excellent communication and presentation skills.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a fast-paced environment.
• Proven track record to lead and mentor technical teams.
• Strong experience with big data technologies like Google BigQuery, Data Transfer service, Pub/Sub, DataFusion, DataProc, DataFlow & Kafka.
• Expertise in data modeling and building Data pipeline in BigQuery.
• Proficiency in programming languages (e.g. Python, SQL).
• Experience with CI/CD pipelines and DevOps.

Benefits

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief