GCP Data Engineer

Design and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities.

Work hands-on with modern cloud technologies including Google Cloud Platform (BigQuery, GCS, Composer, Dataplex, APIs, and more).

Help shape the future of Data Governance through engineering-led automation, lineage services, metadata synchronization, and intelligent workflows.

Collaborate with Data Governance, Product, Platform Engineering, and business partners to deliver innovative enterprise capabilities.

Leverage AI-assisted development tools such as GitHub Copilot and other modern engineering accelerators to increase productivity and innovation.

Build reusable frameworks, APIs, and platform services that accelerate adoption and standardization across the enterprise.

Drive engineering excellence through CI/CD, automation, testing, observability, DataOps, and DevSecOps practices.

Influence and support the development of agentic and AI-enabled solutions that improve business processes and governance outcomes.

Expand your expertise in cloud data architecture, security, governance-by-design, and scalable data engineering patterns.

Work in a supportive, forward-thinking environment that values innovation, continuous learning, collaboration, and career growth.

Build scalable, production-ready data pipelines and orchestration workflows on GCP.

Develop integrations between enterprise data platforms and governance systems to enable metadata discovery, lineage, and automation.

Design and deploy secure, reliable, observable, and cost-efficient cloud-based data solutions.

Embed governance controls directly into engineering workflows through metadata capture, classification, policy enforcement, and lineage propagation.