Senior Data Engineer

Roles and Responsibilities:

• Design, develop, and maintain BigQuery tables, views, functions, and stored procedures using BigQuery SQL and ANSI SQL.
• Design and implement scalable data models and data objects to support reporting, analytics, and business requirements.
• Apply data modeling best practices to ensure data quality, governance, performance, and usability across analytics and reporting solutions, including Looker where applicable.
• Own SQL deployment manifests (YAML-driven) and multi-environment/multi-locale rollout logic, ensuring safe and reliable deployments through GitLab CI/CD pipelines.
• Collaborate with cross-functional teams to understand requirements and deliver solutions aligned with business objectives, security requirements, and data governance standards.
• Use Git for SQL, LookML, and YAML code management, reviews, and deployments.
• Contribute to AI-enabled initiatives that improve engineering productivity, data quality, automation, and development workflows.
• Identify and implement improvements across the full data lifecycle, from ingestion and transformation to reporting and analytics layers.
• Provide technical leadership through code reviews, design discussions, and mentoring of team members.
• Drive scalability, reliability, performance, and security improvements across data platforms.
• Lead complex initiatives and coordinate delivery across multiple stakeholders and teams.

What You will Need to Succeed

• 6-8 years of experience designing, building, and maintaining cloud-based data solutions.
• Proven experience with BigQuery and cloud-based data warehousing platforms, including large-scale multi-tenant schema design.
• Experience optimizing and managing BigQuery and Google Cloud Platform services.
• Advanced SQL and Python expertise with a demonstrated ability to design scalable and maintainable data solutions.
• Advanced analytical, troubleshooting, and problem-solving skills.
• Ability to communicate with global team members to clarify requirements, confirm priorities, and deliver solutions within committed timelines.
• Good to have: Experience with Looker, LookML, or similar BI/reporting platforms.

Experience leveraging AI-assisted engineering tools such as Claude AI, Copilot, or similar solutions to improve productivity, code quality, testing, and development workflows.