Senior Manager – Data Engineering
| Company | SmithRx |
|---|---|
| Location | Washington, USA, Kansas, USA, Pennsylvania, USA, California, USA, Texas, USA, Florida, USA, Nevada, USA, Georgia, USA, Arizona, USA, Tennessee, USA, Virginia, USA, Arkansas, USA, Minnesota, USA, Colorado, USA, Utah, USA, Wisconsin, USA, Missouri, USA, Ohio, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ years of experience in software and data engineering with at least 5 years managing teams
- Deep expertise in data warehousing (e.g., Snowflake, BigQuery, Redshift), ETL, and data pipeline orchestration (e.g., Airflow, dbt)
- Experience working on data platforms that support AI/ML and business critical external integrations
- Experience driving data quality measurement and improvement
- Passion for aligning a data infrastructure roadmap with business outcomes
- Ability to forge trusting relationships with cross functional engineering and business partners
Responsibilities
- Lead and grow a high-performing data engineering team, fostering a culture of technical excellence, collaboration, accountability and innovation
- Define and execute a strategic roadmap for data infrastructure, ensuring alignment with business goals and product needs
- Design, build, and maintain a scalable, reliable, and high-performance data platform that supports multiple use cases, including internal analysis and reporting, AI/ML workloads, external integrations and customer facing products
- Champion data quality across the company ensuring data remains trustworthy across a complex ecosystem of both internal and external inputs
Preferred Qualifications
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No preferred qualifications provided.