Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.

Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users to enable data-driven decision-making.

Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.

Drive the highest standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.

Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.

Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.

3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., Map Reduce, Flume).

Experience managing client-facing projects, troubleshooting technical issues, and working with engineering and sales services teams.

Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.