Greater NYC Area
6 days ago
Design, build, and scale our data warehouse.
Collaborate with Data Scientists, BI Analysts, Engineers, and Product Managers to gather requirements for specific datasets, reports, and model training.
Research new data warehouse and data pipeline solutions. Identify requirements, build prototype implementations, propose adoption, and plan migration paths.
Implement data pipelines that aggregate data from various sources and write to a variety of internal and external platforms. (Examples include S3, NetSuite, Salesforce, customer APIs.)
Identify and resolve performance bottlenecks in SQL queries, workflows, and model training.
Ensure availability of our production data stores and pipelines through building resilient systems, monitoring, alerting, team-wide on-call rotations, and triaging and resolving issues.
Participate in blameless post-mortems and retrospectives that enable us to learn from both failures and successes in order to improve team process and software design.