6032, Director, Data Engineering

Memorial Health•Springfield, IL

9h•$63 - $101•Onsite

About The Position

The Director of Data Engineering leads the strategy, design, and execution of the organization’s data architecture, pipelines, and platforms. This role oversees the development, optimization, and governance of enterprise data assets to ensure reliability, scalability, security, and performance. The Director partners closely with analytics, application development, data science, and operational leaders to deliver high-quality data products that enable advanced analytics, operational efficiency, and strategic decision-making. The role manages a high-performing team of data engineers and architects, drives adoption of modern cloud and data engineering standards, and ensures compliance with regulatory and organizational data governance requirements. Please note this position is onsite in Springfield, IL.

Requirements

Master’s degree or higher in the studies of Computer Science, Information Systems, Software Engineering, Data Engineering, or other related field.
7–10+ years of progressive experience in data engineering, data architecture, or enterprise data management, with at least 3–5 years in a formal leadership or managerial role.
Proven experience designing, building, and optimizing enterprise-scale data pipelines, ETL/ELT workflows, and data integration architectures.
Demonstrated leadership in cloud-based data ecosystems (e.g., AWS, Azure, GCP), including data lakes, data warehouses, and streaming data services.
Experience establishing data quality, metadata management, data lineage, and governance frameworks.
Successful track record leading cross-functional teams and collaborating with Information Services, analytics, and business stakeholders.
Expertise in managing staff across the department to ensure timely delivery of services, and productive usage of staff and resources.
Ability to execute projects from start to finish including the development, measurement and reporting of key performance indicators and commitment to continuous quality improvement required.
Strong written and verbal communications skills, in order to explain to stakeholders, the insights drawn from analysis
Possesses a working knowledge of the enterprise application system and database portfolio, including development technologies, application design strategies, access methods, naming standards, performance tuning, and integration strategies necessary to maintain information integrity, security and physical storage requirements.
Possesses an expert knowledge of logical and physical data modeling, and leverages these skills to ensure consistent and efficient application of technologies.

Nice To Haves

Certification in relevant cloud-based data platform technologies preferred
Experience with cloud data platform technologies (Databricks or Microsoft Fabric) preferred.

Responsibilities

Develop and lead the enterprise data engineering strategy, ensuring alignment with organizational priorities, analytics needs, and digital transformation goals.
Provide leadership to a team of data engineers, architects, and integration specialists, cultivating a high-performance culture focused on reliability, innovation, and continuous improvement.
Partner with executive stakeholders to define the long-term roadmap for data platforms, infrastructure modernization, and emerging capabilities such as real-time analytics, interoperability, and AI/ML enablement.
Architect, implement, and maintain scalable data platforms including data lakes, data warehouses, and streaming data environments.
Oversee the design and execution of robust ETL/ELT pipelines and integration frameworks that ensure timely, accurate, and governed data across the enterprise.
Evaluate and implement modern cloud-native technologies to strengthen system performance, resiliency, and scalability.
Establish and enforce data quality standards, metadata management practices, and enterprise data governance policies in partnership with Information Services and data governance committees.
Ensure data architecture complies with security and regulatory requirements (e.g., HIPAA, HITECH, CMS, SOC2).
Monitor data reliability, integrity, and lineage, implementing processes to prevent data drift, inconsistencies, and quality degradation.
Lead the development and maintenance of production-grade data integrations, pipelines, and workflows that support operational reporting, analytics, and regulatory submissions.
Implement engineering best practices including version control, CI/CD automation, testing frameworks, and infrastructure-as-code.
Manage workload prioritization, capacity planning, and service-level expectations to ensure timely delivery of data products and system enhancements.
Partner with analytics, quality, clinical operations, finance, and digital teams to understand data needs and design solutions that enable actionable insights.
Serve as the technical authority for data engineering, providing consultative support on architectural decisions, data modeling, and integration strategies.
Collaborate with cybersecurity, architecture, and application teams to ensure secure, reliable, and efficient data operations across environments.
Oversee data engineering operating and capital budgets, ensuring efficient use of resources and alignment with system priorities.
Manage vendor relationships involving cloud platforms, data engineering tools, integration technologies, and consulting partners.
Follows all Health System, Divisional and Departmental policies at all times including but not limited to change management, helpdesk applications, and project management practices
Embodies the Memorial Health System Performance Excellence Standards of Safety, Courtesy, Quality, and Efficiency that support our mission, vision and values
Participates in development opportunities including but not limited to quality and leadership classes as determined by manager and employee. (MHS, vendor, or scholastic provider; member of professional society).
Performs other related work as required or requested