Our data ecosystem should equip everyone at Affirm to produce and consume high-quality data to make reliable data-driven decisions and products. It should be easy to find, understand, use, and trust any data that flows through Affirm, in any derived from, for any use case. Data is a strong competitive advantage and our team will influence a culture that promulgates the right approach and a robust process towards publishing, consuming, managing and acting on data.

The Data Partners team empowers Affirm’s product and business decisions with a single source of truth (SSOT) data product and enables self-serve data visualization. We maintain robust data pipelines, drive core model adoption and automate processes to ensure certified data is reliable and scalable to our partners. The goal for the team is to Build a platform with frameworks, tools and infrastructure to enable analytics teams to build their business insights. As well as support the org in driving best practices on data production, transformation and consumption.

What You'll Do

• Technical leadership on strategy and execution within the Data@ organization.
• Develop and automate large-scale, high-performance frameworks and visualization to ensure reliability and meet critical business requirements.
• Lead multi-functional engineering projects and implementation. Including but not limited to international data warehouse/data lake architecture, data governance, data quality, and data privacy.

What We Look For

• 6+ years of experience in data infrastructure, CI/CD framework and other areas directly relevant to data engineering.
• Experienced with data governance frameworks and Agile methodology
• Proficiency in SQL constructs and Data Warehouse technologies (NoSQL, logging, columnar, Snowflake, etc.), Big Data technologies (e.g Hadoop, Spark, etc.), analytics (Looker, Tableau, etc.)
• Hands-on experience with data engineering and ETL tools using Python, Bash, Apache Airflow, AWS, Databricks and SQL for cloud data warehouse(Snowflake, Redshift, etc) environments.
• Experience with dbt is a plus!
• Technical leadership: capable of handling mentorship, cross functional project execution, and proven individual contributions.
• Excellent written and verbal communication; able to effectively collaborate with technical and business partners.
• Eager to learn new things and have a growth mindset.
• BS/MS degrees in Computer Science, Engineering, or a related technical field

Location - Remote U.S.

Grade - USA30

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