Note: The job is a remote job and is open to candidates in USA. BAYADA Home Health Care is a home health care provider focused on compassion, excellence, and reliability. The Director, Data Engineering leads the enterprise data platforms and formulates a comprehensive data strategy to support analytics, decision-making, and AI, ensuring alignment with business objectives and fostering growth. This role involves managing data platform modernization, compliance, and building a high-performing data engineering team.
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
- Operationalize and oversee robust data quality, observability, and lineage programs to ensure continuous improvement and high standards of delivery
- Support the organization’s AI and analytics strategy by delivering the trustworthy, governed, and well-modeled data foundation required for insight-driven decision-making and exceptional user experiences
- Collaborate with IT infrastructure, cybersecurity, enterprise architecture, application engineering, and analytics teams to build integrated, secure, and future-ready data platforms
- Partner with product management and business stakeholders to ensure the on-time delivery of data roadmaps, balancing speed, quality, and long-term maintainability
- Ensure compliance with all relevant healthcare industry regulations — including HIPAA, HITECH, and NIST — and maintain strong security and PHI-handling frameworks across the data lifecycle
- Foster and sustain a culture of innovation, collaboration, teamwork, and continuous learning across the data engineering function
- Serve as a strategic advisor to executive leadership on data investments, risk mitigation, and innovation opportunities, aligning initiatives with BAYADA’s mission and business priorities
- Identify, evaluate, and guide the adoption of emerging data technologies that elevate BAYADA’s mission and advance care excellence
- Streamline data engineering operations to enhance productivity and organizational effectiveness
- Develop and implement comprehensive strategies to mitigate data and platform risks and ensure the security, compliance, and resilience of BAYADA’s data assets
- Lead organizational change management related to data platform adoption, ensuring smooth transitions and widespread user acceptance
- Build and maintain strong, trust-based relationships with leaders and stakeholders to ensure alignment and support for data initiatives
- Establish, monitor, and report on service level agreements (SLAs) and key performance indicators (KPIs) to uphold the highest standards of data quality, reliability, and service delivery
- Cultivate, lead, and develop a high-performing, inclusive, and collaborative data engineering team that embodies BAYADA’s values and strives for excellence
- Oversee the creation, implementation, and enforcement of data engineering policies, standards, and governance frameworks to ensure regulatory compliance and industry-leading best practices
- Allocate resources strategically, including budget and personnel, to maximize the impact and value of data investments
- Demonstrate solid performance or exceed performance standards in key job dimensions/attributes as defined on the Performance Appraisal for Office Staff
- Perform related duties and special projects as required or requested by supervisor, demonstrating flexibility and commitment to BAYADA’s evolving needs
- Complete special projects or other assignments as requested
- Demonstrates professional work behaviors such as professionalism and confidentiality
- Seek learning opportunities around programs that affect professional and/or personal growth
Skills
- * Exemplifies characteristics of The BAYADA Way: compassion, excellence and reliability
- * Four (4) year college degree in Computer Science, Information Systems, Engineering or related field
- * 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
- * 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
- * Advanced Degree preferred
- * Relevant certifications preferred, not required (e.g., Amazon Web Services (AWS), Databricks, Certified Data Management Professional (CDMP), Project Management Professional (PMP))
Benefits
- Bonus Opportunity
- Paid holidays
- Vacation and sick leave
- Vision health plans
- Dental health plans
- Medical health plans
- Employer-paid life insurance
- 401k with company match
- Direct deposit
- Employee assistance program
- Remote work
Company Overview
Company H1B Sponsorship