Director, Data Engineering

BAYADA Home Health Care•Pennsauken, NJ

10d•Remote

About The Position

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.

Requirements

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.

Nice To Haves

Advanced Degree preferred.
Relevant certifications preferred, not required (e.g., Amazon Web Services (AWS), Databricks, Certified Data Management Professional (CDMP), Project Management Professional (PMP)).

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.