What you will be doing
- Leading the data engineering team to build top-tier data assets and analytics tools
- Drive continuous improvement in data engineering practices and processes.
- Fully owning our data platform, from logging to consumption by end users as well as all the internal and external tools in between
- Oversee the design, development, and maintenance of data pipelines and data warehousing solutions.
- Driving team prioritization with a focus on driving business value by reducing time to insight
- Creating the right team processes, structure, and systems to build and maintain high-quality code that powers our data infrastructure
- Establishing and enforcing data governance and compliance policies and procedures
- Promoting data quality, integrity, and security across the organization
What you need
- 5+ years of experience as a technical contributor in data infrastructure and data / analytics-related roles
- BA/BS in Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field. MS Preferred
- A strong foundation in data modeling, transforming business requirements into effective schemas
- Strong experience with big data technologies such as Spark (Databricks), and Kafka (Confluent).
- Strong proficiency in SQL and ETL processes.
- Strong understanding of cloud-based data solutions (e.g., AWS, GCP, Azure).
- Proficiency with industry-standard reporting tools such as Qlik, QuickSight, or similar.
- An ability to communicate effectively with technical team members, analysts, and executives
- An interest and ability to dive into the details of problems to resolve communication, ownership, data modeling, and other challenges
- A strong bias for action and execution
- Experience with data/privacy laws in healthcare (e.g. HIPAA)
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