Staff Data Architect

Extensive experience in architecting and implementing complex, large-scale data platforms, including data warehousing solutions and scalable data services.
Mastery of data engineering tools, technologies, and best practices, with a demonstrated ability to design end-to-end data ecosystems.
Significant hands-on experience with cloud-based data technologies, preferably within Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and related tools.
Strong analytical abilities and a track record of tackling complex data challenges with innovative, strategic solutions that enhance the efficiency, reliability, and scalability of data platforms.
An ability to engage and influence both technical and non-technical stakeholders through clear communication and a team-oriented approach.

Leading the data engineering function at an architectural level.
Defining best practices and setting long-term vision for the data ecosystem.
Mentoring, guiding, and collaborating with the data and product engineering teams.
Architecting scalable, reliable, and efficient data pipelines, services, and products that meet diverse business needs.
Partnering with product managers, engineering leads, and other stakeholders to define data architecture requirements that align with business goals.
Leading efforts to identify and resolve performance bottlenecks, ensuring data processing systems are highly optimized for both performance and cost-effectiveness.
Establishing and implementing data governance frameworks to ensure data reliability, security, and regulatory compliance.

Proficiency with Go programming language, dbt for data transformations, containerization (Docker), and orchestration (Kubernetes).
Designing and implementing analytic solutions for both internal and external customers of the data platform.
Experience with machine learning teams, interfacing and facilitating infrastructure and pipelines to accelerate ML efforts.