Teladoc Health is leading the next evolution of virtual care, empowering employees to help millions live healthier lives. The Director of Database Platform Engineering will define and execute the data platform strategy, overseeing the transformation to a modern, cloud-based architecture and ensuring robust governance and operational excellence.
Responsibilities:
- Define and execute the long-term strategy for the organization’s data platform and database infrastructure
- Lead the design and implementation of cloud-based data warehouse architecture using Snowflake
- Lead modernization of the organization’s data ingestion and transformation architecture toward modern ELT patterns
- Design and implement scalable data pipelines integrating multiple operational systems into the enterprise data warehouse
- Implement best practices for data modeling, dimensional schemas, and performance optimization
- Lead enterprise migration from Tableau to Power BI
- Oversee development of Power BI semantic models, datasets, and dashboards
- Support embedding analytics into customer-facing applications using Power BI Embedded
- Oversee database platforms including Azure PostgreSQL, SQL Server, and Snowflake
- Ensure high availability, scalability, performance, security, and cost efficiency
- Lead and scale teams across data warehouse engineering, database engineering, and analytics
- Foster a culture of automation, reliability, and continuous improvement
- Establish enterprise data governance, security, and access control frameworks
- Ensure data quality, lineage, and regulatory compliance
Requirements:
- 10+ years in data platform, database engineering, or data warehousing, with 5+ years in leadership through a combination of work experience, training, military experience or education
- Proven experience implementing Snowflake or comparable cloud data platforms
- Hands-on experience with Power BI (Desktop and Embedded)
- Strong expertise in Azure PostgreSQL, SQL Server, and modern data architectures
- Deep understanding of ELT pipelines, data modeling, and analytics delivery
- Experience leading enterprise data and analytics transformations