About the Role
We are looking for a Director of Data Integrations to help lead our data integration efforts, ensuring the consistent delivery of high-quality data pipelines, while shaping our data integrations strategy and roadmap. This role will work closely with stakeholders across the business to understand data needs, align on priorities, and maintain strong, reliable data flows. The Director of Data Integrations will lead and mentor a team of data engineers, and work to continuously integrate new data sources, ensuring that the team’s efforts drive impactful and business-aligned data solutions. In addition to strategic leadership, the Director will also get their hands dirty, contributing directly to the data engineering codebase and driving critical projects forward.
This is a fully remote position.
Responsibilities:
- Oversee the design, deployment, and maintenance of data pipelines and architecture that ensure consistent, high-quality, and timely data availability across the organization.
- Lead the development and enforcement of data quality standards, data governance, and monitoring practices.
- Act as the primary liaison between data engineering and other departments, including Product, Marketing, Analytics, and Operations, to ensure data needs are met.
- Gather requirements, prioritize requests, and provide status updates on key projects to keep stakeholders informed and aligned.
- Develop and implement a strategic roadmap for data integrations in alignment with business goals.
- Assess current capabilities, identify areas for improvement, and ensure the integration strategy scales with the company’s growth and evolving data needs.
- Manage, mentor, and grow a team of data engineers, fostering a culture of collaboration, continuous improvement, and technical excellence.
- Roll up your sleeves and contribute to the data engineering codebase, especially on high-impact projects. Collaborate with team members to solve complex technical challenges and ensure best practices are followed in coding, testing, and documentation.
- Identify and evaluate new data sources that can provide additional value to the business. Develop and oversee the integration of these sources into our data ecosystem, ensuring proper alignment with business objectives and technical infrastructure.
What You Need to Succeed in the Role
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
- 8+ years of experience in data engineering or data integration roles, with at least 3-5 years in a leadership capacity.
- Proven experience with modern data integration tools, ETL/ELT frameworks, and cloud data platforms (experience with AWS, Redshift, Matillion are a plus).
- Experience working with a wide variety of data sources (EHRs, CRMs data experience are a plus)
- 3-5 years of experience with data visualization tools such as Sigma or Looker
- Deep understanding of data pipeline architectures, data modeling, and ETL best practices.
- Proficiency with SQL, Python and familiarity with programming languages such as R.
- Experience with data quality management and monitoring tools.
- Familiarity with data governance principles and tools.
- Strong communication skills with the ability to convey technical concepts to non-technical stakeholders and to drive alignment on data initiatives.
