GCP Data Engineer

Sequoia Connect

7d • Hybrid

About The Position

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™. They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers. Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights. We are currently searching for a Senior GCP Data Engineer (Data Governance) :

Requirements

• Strong experience in data governance within enterprise-scale environments.
• Hands-on experience with GCP data services and cloud-based data architectures.
• Advanced SQL skills for data analysis, validation, and transformation.
• Experience with data quality, lineage, and metadata tools (data catalogs, governance platforms).
• Solid understanding of data security and compliance concepts , including PII management.
• Advanced English level (spoken and written).

Nice To Haves

• Experience working in hybrid enterprise environments.
• Familiarity with automation and orchestration of data processes.
• Advanced Oral English.
• Native Spanish.

Responsibilities

• Design and implement data governance frameworks across cloud-based data platforms.
• Define and enforce data quality rules , including automated validations and monitoring.
• Develop and maintain data architectures such as Data Lakes, Lakehouse, and modern Data Warehouses.
• Manage metadata, technical lineage, and data catalogs to ensure transparency and traceability.
• Implement schema management and data security controls , including data classification and PII handling.
• Build and optimize data pipelines and process automation to support scalable analytics solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees