Senior Data Engineer

Technical Leadership & Architecture

• Lead the end-to-end design and implementation of highly scalable, reliable, and secure data platforms and pipelines using the Google Cloud Data & Analytics suite.

• Define technical standards, coding best practices, and architectural patterns (e.g., Kimball, Data Vault) for all data engineering solutions delivered to clients.

• Serve as the primary technical expert on key GCP services including BigQuery, Dataflow (Apache Beam), Dataproc, Cloud Composer (Apache Airflow), Pub/Sub, and Cloud Storage.

• Drive the adoption of Infrastructure as Code (IaC) principles, primarily using Terraform, for provisioning and managing data infrastructure.

• Oversee the implementation of CI/CD pipelines (e.g., using Cloud Build, Jenkins, or GitHub Actions) to automate deployment and testing processes.

• Ensure rigorous data quality, governance, and security standards (IAM, encryption) are embedded into every data solution.

Consulting & Client Engagement

• Translate ambiguous or complex client business requirements into precise technical specifications and architectural blueprints.

• Act as a trusted advisor to senior client stakeholders (e.g., Lead, Data Directors) on data strategy, cloud migration pathways, and modern data stack solutions.

• Own project delivery success from a technical perspective, including estimating effort, managing technical risks, and ensuring timely, high-quality solution deployment.

Team Management & Mentorship

• Mentor and coach junior and mid-level data engineers, fostering their growth in GCP expertise, consulting skills, and engineering excellence.

• Conduct code reviews, provide constructive feedback, and maintain accountability for the technical output of the project team.

• Participate in the recruitment process, helping to build and scale Devoteam’s data engineering capability.