Data Engineering Architect

Data and insights are the foundation for Coinbase to achieve its mission and execute on its strategy. The Data Science team strives to deliver timely and accurate metrics and insights to help us navigate Coinbase’s roadmap and measure milestones along the way. There are three main ways that we contribute to Coinbase’s long-term goal:

• Build robust and scalable data semantics and tooling with data engineering techniques and in-depth domain knowledge
• Serve as thought partners to functional teams and Coinbase executives; deliver actionable insights and analysis to empower decision-making in a timely manner
• Drive sustainable growth and business impact through advanced statistics, machine learning and quantitative finance methodology

This is an Individual Contributor (IC) role and will partner directly with Data Science, Data Platform and other Engineering functions to define and execute roadmaps, and build systems of intelligence. This will ultimately empower the team while also bringing forward technical innovation to spearhead critical operational and strategic decisions across all aspects of data at Coinbase

What you’ll be doing (ie. job duties):

• Define and implement the long term technology strategy and innovations roadmaps across analytics, data engineering and data platforms
• Responsible for expanding and optimizing Coinbase data and data pipeline architecture, as well as improving data flow and collection for cross-functional teams
• Build and own the data science and analytics toolkits to improve the efficiency and drive toward self-service analytics across Coinbase
• Drive engineering excellence and lead craftsmanship in building, testing, and optimizing ETL/feature/metric pipelines
• Take ownership in data compliance, access control and data governance requirements
• Bridge analytics needs and data engineering requirements through proper data modeling
• Own and manage external data sources and vendors

What we look for in you (ie. job requirements):

• Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
• 7+ years of strong experience software development, data engineering, business intelligence, data science, or related field
• 5+ years of experience in data modeling, ETL development, and data warehousing
• Experience in spinning up and managing business intelligence tools such as SuperSet, Looker, etc.
• Effective craftsmanship in building, testing, and optimizing ETL/feature/metric pipelines
• Advance working SQL knowledge, data warehouses, big data and object stores
• Strong knowledge of Python, Shell programming, Spark (Batch/Streaming), SparkSQL and PySpark
• Experience in data technologies (PostgresDB, Airflow, Kubernetes, Docker, Spark, pySpark, etc.)
• Proven success in communicating with end-users, technical teams, and senior management

Job #: P51410

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range from $201,450 to $237,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).