Description

[Employer hidden — sign up to reveal] is seeking a Director, Data Engineering to lead the design, architecture, and delivery of scalable, Azure-based data platforms that enable enterprise analytics, reporting, and data-driven decision-making. Join us in Simplifying Complex Care!

[Employer hidden — sign up to reveal] Perks:

• Competitive Wages
• 401(k) with a Match
• Referral Bonus
• Paid Time Off
• Great Company Culture
• Paid Parental Leave Options
• Affordable Medical, Dental, & Vision Insurance Plans
• Company Paid Disability & Basic Life Insurance
• HSA & FSA (including dependent care) Options
• Education Assistance Program

The Position

The Director of Data Engineering is responsible for leading the design, architecture, and development of the organization’s data platforms and infrastructure. This role will drive the strategy and execution of scalable, secure, and high-performing data solutions that enable analytics, reporting, and advanced data capabilities across the enterprise.

This leader will oversee data architecture, modeling, and engineering teams to ensure reliable, well-structured, and accessible data. Working closely with Data Governance, Analytics, Technology, and business stakeholders, this role plays a critical part in building a modern, Azure-based data ecosystem that supports growth, compliance, and data-driven decision-making.

Responsibilities Include

Data Engineering Strategy & Leadership

• Define and execute the enterprise data engineering strategy aligned with business and technology objectives
• Lead and develop high-performing data engineering teams, fostering a culture of innovation, accountability, and continuous improvement
• Establish best practices for data architecture, data modeling, and pipeline development
• Partner with executive leadership to prioritize data initiatives that drive business value

Data Architecture & Modeling

• Lead the design and implementation of enterprise data architecture, including data lake, data warehouse, and/or lakehouse frameworks
• Define and enforce data modeling standards (e.g., dimensional modeling, normalized models, semantic layers) to support scalable analytics and reporting
• Oversee the creation and maintenance of logical and physical data models aligned with business requirements
• Ensure data is structured for performance, usability, and consistency across reporting and analytics platforms
• Partner with Data Governance to ensure alignment on metadata, lineage, and data definitions

Azure Data Platform & Engineering

• Lead the design and optimization of cloud-based data architecture leveraging Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and related services
• Drive modernization of legacy data systems into a cloud-based, Azure-first architecture
• Ensure scalability, performance, and reliability of data platforms supporting enterprise analytics and operations
• Collaborate with IT and security teams to ensure infrastructure meets performance and compliance standards

Data Pipeline Development & Integration

• Oversee the development and maintenance of robust ETL/ELT pipelines integrating data from multiple sources (CRM, ERP, clinical systems, financial systems)
• Ensure efficient data ingestion, transformation, and delivery for downstream analytics and reporting
• Implement automation and orchestration to improve pipeline reliability and reduce manual processes
• Support both batch and real-time data processing needs

Data Quality, Reliability & Performance

• Partner with Data Governance to embed data quality controls within data pipelines and systems
• Ensure data accuracy, consistency, and availability across platforms
• Implement monitoring, alerting, and issue resolution processes to maintain high data reliability
• Optimize performance of data queries, storage, and processing

Collaboration & Stakeholder Engagement

• Partner with Analytics, BI, Finance, Clinical, Operations, and Commercial teams to understand data needs and deliver scalable solutions
• Translate business requirements into well-architected technical solutions
• Enable self-service analytics through clean, structured, and well-modeled data
• Work closely with Data Governance to ensure alignment on standards and compliance

Security, Compliance & Cost Optimization

• Ensure data security, privacy, and compliance with regulatory requirements (e.g., HIPAA)
• Implement role-based access controls and data protection strategies
• Optimize Azure resource usage to balance performance and cost efficiency
• Support audit readiness and regulatory reporting requirements

Schedule

Monday-Friday 8:30am-5pm

Requirements

• Bachelor’s degree required; advanced degree preferred (Computer Science, Data Engineering, Information Systems, or related field)
• 10+ years of experience in data engineering, data architecture, or related roles, with progressive leadership experience
• Strong experience designing data architecture and data models in enterprise environments
• Hands-on experience with Azure data technologies (Azure Data Factory, Azure Synapse, Azure Data Lake, etc.)
• Expertise in ETL/ELT development, data modeling, and large-scale data processing
• Strong proficiency in SQL and experience with Python or similar programming languages
• Experience building scalable data platforms in cloud environments
• Experience in healthcare, specialty pharmacy, or other regulated industries preferred
• Familiarity with modern data architecture concepts (data lake, warehouse, lakehouse, semantic layers)

About Us

[Employer hidden — sign up to reveal] is an innovative national provider of complex specialty pharmacy and infusion services, administered in the home or at alternate sites of care. Our goal is to attract and retain the best and brightest as our employees are our greatest asset. Experience the [Employer hidden — sign up to reveal] Difference!

[Employer hidden — sign up to reveal]'s Core Values:

• Improve patients’ lives every day
• Be passionate in everything you do
• Encourage unlimited ideas and creative thinking
• Make decisions as if you own the company
• Do the right thing
• Have fun!

[Employer hidden — sign up to reveal] is committed to diversity, equity, and inclusion. We recognize that establishing and maintaining a diverse, equitable, and inclusive workplace is the foundation of business success and innovation. We are dedicated to hiring diverse talent and to ensuring that everyone is treated with respect and provided an equal opportunity to thrive. Our commitment to these values is evidenced by our diverse executive team, policies, and workplace culture.

[Employer hidden — sign up to reveal] is an Equal Opportunity Employer, celebrating diversity and committed to creating an inclusive environment for all employees. [Employer hidden — sign up to reveal] does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an organization, parental status, military service or other non-merit factor.