Purpose

The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines on Google Cloud Platform (GCP). This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure.

The Senior Data Engineer will oversee a team of up to three Data Engineers, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives.

Accountability

• Design, build, and optimize data pipelines and architectures on GCP to support data products, ensuring scalability, reliability, and performance.
• Lead a team of up to three Data Engineers, providing mentorship, technical direction, and performance feedback.
• Collaborate with cross-functional teams (e.g., Data Scientists, Product Managers, and Software Engineers) to understand requirements and deliver data products that align with business goals.
• Implement best practices for data governance, security, and compliance within GCP environments.
• Monitor and maintain data infrastructure, ensuring high availability, data quality, and efficient processing.
• Drive the adoption of modern data engineering tools and methodologies, including ETL/ELT processes, data modeling, and orchestration.
• Troubleshoot and resolve complex data pipeline issues, ensuring minimal downtime and optimal performance.
• Contribute to the evaluation and integration of new GCP services and third-party tools to enhance data capabilities.

Education

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. A Master’s degree is a plus.

Experience

• 7+ years of experience in data engineering, with at least 3 years focused on building data solutions in Google Cloud Platform (GCP).
• Proven expertise in designing and implementing data pipelines using GCP tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
• 2+ years of experience leading or mentoring a team of engineers, with a track record of successful project delivery.
• Strong proficiency in programming languages such as Python, Java, or Scala, and SQL for data processing.
• Hands-on experience with data modeling, schema design, and data warehousing concepts.
• Familiarity with CI/CD pipelines, version control (e.g., Git), and Infrastructure as Code (e.g., Terraform) is preferred.
• Knowledge of data governance, security practices, and compliance standards (e.g., GDPR, CCPA) in cloud environments.
• Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

What’s In It for You

• You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world.
• We foster an environment of innovation and continuous learning. We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
• We provide employees with an environment that is safe, inclusive, and reflective of all communities by promoting fair and equitable treatment and prioritizing unconscious bias and anti-racism training.
• We care about our people, allowing them to design how they work to deliver amazing results.
• We offer a competitive total rewards package, including a performance bonus, company matching programs (pension & Employee Share Ownership), generous vacation; health/medical/wellness benefits; employee banking privileges.
• When in person collaboration is required, you can take advantage of our new state of the art ecosystems with a design focus on enabling collaboration through both environment and technology.