Director, Data Engineering

This is a remote role.

POSITION SUMMARY:

The Director, Data Engineering, is a critical and trusted leadership role, responsible for leading and forming the enterprise’ data platforms that support BAYADA’s mission and long-term goals. This role is responsible for formulating and implementing a comprehensive data strategy that aligns with the organization’s overall business objectives, enabling reliable, secure, and scalable data foundations for analytics, decision-making, and AI across the enterprise. The Director, Data Engineering, is responsible for ensuring data initiatives support and enhance the overall business strategy, fostering growth and competitive advantage.

MINIMUM QUALIFICATIONS:

• Exemplifies characteristics of The BAYADA Way: compassion, excellence and reliability.
• Four (4) year college degree in Computer Science, Information Systems, Engineering or related field. Advanced Degree preferred.
• Twenty (20) years of progressive experience leading and transforming data engineering and analytics teams in a growth-oriented environment.
• Five (5) years specifically focused on enterprise data platforms, Lakehouse and cloud-native data architectures, and large-scale data engineering programs (individuals who has managed and built teams of 30+ people).
• Demonstrated experience in implementing automation in engineering workflows. On the cutting edge of AI based engineering capabilities
• Demonstrated automations in multi cloud architecture environments
• Relevant certifications preferred, not required (e.g., Amazon Web Services (AWS), Databricks, Certified Data Management Professional (CDMP), Project Management Professional (PMP)).
• Demonstrated record of strong interpersonal skills and building relationships.
• Demonstrated record of goal achievement and exceeding performance standards.
• Demonstrated ability to lead people and get results through others.
• Proven ability to lead enterprise data engineering projects and teams and the development of data and analytics solutions.
• Expertise software development, IT infrastructure, data architecture, and emerging technologies.
• Exceptional organizational skills and problem-solving abilities.
• Demonstrated experience in cloud data platform migration and cloud-native data engineering, enterprise-scale integrations and ingestion development, and modernization of legacy data warehouse and BI platforms.
• Proven track record of working with multi-functional, cross-site teams in a remote, complex work environment.
• Experience managing budgets and vendor/contract relationships.
• Strong understanding of secure data engineering practices, agile development methodologies, and healthcare industry security and privacy regulations like HIPAA, HITECH, and NIST framework.
• Demonstrated experience in modernizing legacy data platforms, transitioning data warehouse and Business Intelligence (BI) systems to the cloud, and implementing enterprise-scale data integrations connecting distributed systems.
• Proven ability to manage high-pressure situations with professionalism and discretion.
• Strong relationship-building skills to promote collaboration and drive successful outcomes.
• Proven ability to build on open-source platforms (e.g., Databricks, AWS, Apache Spark, data build tool (DBT), Airflow, SQL/Python) and the ability to swiftly learn new tools.
• Solid written and verbal communication skills.
• Strong customer service skills.
• Excellent organizational skills and strong attention to detail.
• Understands and connects with the BAYADA culture.

PRIMARY RESPONSIBILITIES:

• Demonstrate and communicate the core values of BAYADA and The BAYADA Way.
• Champion BAYADA’s core values and The BAYADA Way, ensuring these principles guide every initiative and decision.
• Lead the strategy, development, and execution of the enterprise data platform — including ingestion, storage, transformation, governance, and observability — in alignment with organizational growth, digital transformation, and modernization priorities.
• Advance adoption of modern data engineering practices, including Lakehouse architectures, streaming and batch ingestion, DataOps, Continuous Integration/Continuous Deployment (CI/CD), and infrastructure as code to enable scalable, resilient solutions.
• Oversee the modernization of legacy data warehouse and BI environments (e.g., SQL Server, SQL Server Analysis Services (SSAS)), emphasizing the migration to cloud-first, Lakehouse-based platforms for improved performance and agility.
• Design, scale, and manage BAYADA’s data integration and pipeline framework with a focus on reliability, resilience, and sustainable growth.