Director, Data Engineering and Integration Services

Central Health•Austin, TX

About The Position

Under the direction of Joint Tech's Vice President of Data Insights and Innovation, the Director of Data Engineering and Integration Services is responsible for the architecture, development, operation, and governance of Central Health System's healthcare data platforms, including the Snowflake cloud data environment, core data architecture, and all data engineering and integration services. This role also provides leadership and oversight for legacy and transitional platforms, including Microsoft SQL Server, as the organization continues its multi-year migration from on-premises and hybrid SQL Server environments to Snowflake. The Director supports business, operational, financial, clinical, and population health use cases across this evolving data ecosystem. This role requires a hands-on technical leader with deep experience in healthcare data engineering, cloud-native architectures on Microsoft Azure, and interoperability standards including FHIR, as well as strong working knowledge of Microsoft SQL Server in enterprise healthcare environments. The Director leads the design and delivery of scalable, secure, and reliable data ingestion, transformation, and integration pipelines across Electronic Health Records (EHRs), claims systems, financial platforms, and external partners, including pipelines that span SQL Server–based source systems and the Snowflake cloud platform. The Director ensures data is appropriately modeled, curated, and governed during and after migration to support analytics, reporting, data science, and operational workflows. The Director provides strategic and operational leadership for the Data Engineering and Integration Services function, ensuring that enterprise data platforms and architectures are coherent, resilient, performant, interoperable, and aligned with governance and security standards across both legacy and cloud-native environments. This includes guiding the safe, reliable transition of data assets from SQL Server to Snowflake while maintaining continuity for downstream analytics, population health management, and operational reporting, and ensuring infrastructure readiness for advanced analytics, artificial intelligence, and machine learning. In partnership with Data Architecture, Analytics, Data Science, Security, Compliance, and Clinical Operations, this role sets and enforces enterprise data architecture standards, embeds data governance, privacy, and quality controls directly into engineering and integration workflows, and ensures that both SQL Server–based and Snowflake-based data assets are trustworthy, well-documented, and fit for clinical and operational decision-making throughout the migration lifecycle. The Director will provide direct management and supervision of the Data Engineering and Integration Services Manager and serve as a senior technical advisor to executive leadership, including presenting enterprise data platform strategy, migration progress, architectural risks, and long-term cloud modernization plans to senior executives and Boards as required.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent combination of education and relevant experience
7 years Progressive experience in data engineering, data integration, or data platform development, with at least 5 years in a healthcare or highly regulated environment.
5 years Hands-on experience designing, building, and operating cloud-based data platforms, preferably using Microsoft Azure and Snowflake.
5 years Demonstrated experience designing and maintaining enterprise-scale data pipelines and integration services, including APIs, ELT/ETL workflows, and vendor integrations.
5 years Demonstrated experience working with healthcare data standards and interoperability frameworks, including FHIR and HL7
5 years Proven experience implementing and operationalizing data governance, data quality, and security practices within technical systems.
3 years Experience in a leadership role, managing technical teams and influencing enterprise technology or data strategy.
3 years Experience partnering with analytics, data science, clinical, or operational teams to support reporting, decision-making, or advanced analytics use cases.
EPIC certification
Boomi Professional Developer certification

Nice To Haves

Master's Degree (higher degree accepted) in Computer Science, Data Science, Information Systems, Health Informatics, or a related field
Formal training in healthcare informatics, data architecture, or cloud computing

Responsibilities

Actively embed within clinical, operational, and business teams to understand workflows, data needs, and constraints, ensuring data platforms and integrations are designed around real enterprise use cases rather than abstract technical assumptions.
Maintain ongoing, structured collaboration with IT, Analytics, Data Science, Clinical Operations, Finance, Compliance, and external partners to ensure alignment, reduce friction, and accelerate delivery.
Translate system-wide strategy into a multi-year data platform and integration roadmap that balances immediate delivery needs with long-term architectural sustainability.
Ensure that the Data Engineering and Integration Services team’s work is explicitly aligned with enterprise and departmental OKRs by translating strategic objectives into concrete technical initiatives, delivery plans, and measurable outcomes. Actively manage priorities, capacity, and sequencing of work to ensure the team is contributing meaningfully to organizational goals, and regularly track, report, and adjust progress to maintain alignment and accountability.
Operate data engineering and integration as a reliable internal service, with defined service levels, clear intake processes, transparent prioritization, and measurable performance.
Select and use platforms, tools, vendors, and internal capabilities efficiently to avoid duplication, reduce cost, and maximize enterprise value.
Design and operate systems with resilience, monitoring, and incident response practices that minimize disruptions to clinical, operational, and reporting workflows.
Develop team capability through coaching, delegation, and psychological safety, enabling engineers and managers to make sound technical decisions within clear architectural and governance guardrails.
Establish clear ownership for platforms, pipelines, data domains, and outcomes, and hold teams and vendors accountable for reliability, quality, security, and delivery commitments.
Actively manage vendor relationships to ensure solutions align with enterprise architecture, data governance standards, security requirements, and long-term sustainability.
Ensure that all data platforms and integration services meet enterprise security standards, including access controls, encryption, monitoring, and incident response.
Safeguard enterprise data assets through governance, privacy controls, stewardship, and quality management, ensuring data is trustworthy, compliant, and appropriately used.
Develop and maintain clear, practical policies and standards for data engineering, integration, architecture, and governance that are consistently applied and reviewed.
Provide visibility into platform health, architectural decisions, risks, tradeoffs, costs, and performance so stakeholders can make informed decisions and build trust in the data ecosystem.
Collaborate with all business stakeholders and lead the execution of application and training strategy for internal as well as partner organizations.
Own and oversee the enterprise Snowflake data platform, including its architecture, configuration, performance, security, cost management, and long-term scalability.
Own and oversee legacy and transitional data platforms, including Microsoft SQL Server environments, ensuring stability, performance, security, and data integrity while leading and supporting the phased migration of data assets, pipelines, and workloads to the enterprise Snowflake cloud platform.
Establish and enforce enterprise data architecture standards for how data is modeled, stored, curated, and accessed across the organization.
Define and govern core data domains, subject areas, and canonical models within Snowflake to ensure consistency across clinical, operational, and financial use cases.
Ensure that data engineering and integration patterns align with the enterprise data architecture, rather than creating fragmented or duplicative structures.
Establish and maintain policies, standards, and reference architectures for data engineering, data integration, and enterprise data architecture.
Enforce strict adherence to architectural and technical review processes for all changes to data pipelines, integration services, Snowflake schemas, data models, and supporting platforms, including security, governance, performance, and interoperability considerations.
Partner with Infrastructure, Analytics, and Data Science to evolve the platform roadmap, ensuring that Snowflake and associated tooling support current and future analytical and AI use cases.
Propose and evaluate data platforms, Snowflake architectural patterns, integration tools, and governance capabilities to support enterprise goals, with explicit consideration for scalability, interoperability, security, and AI readiness.
Maintains vendor contracts and is responsible for direct vendor management regarding all enterprise data systems and tools and acts as a vested member of the IT/IS leadership team and adheres to and promotes (as if they were their own) all aspects of the IT/IS vision, the seven IT/IS success factors and the guiding principles by which the Joint Technology team is governed.
Have the ability to work outside of standard business hours. This position requires, on occasion, the ability to work evenings, weekends and holidays.
Ensure the team develops and maintains clear documentation of data architecture, Snowflake schemas, data models, and integration patterns.
Fosters and maintains an engaged and skills-rich team.
Hold teams accountable for architectural consistency, data quality, and stewardship across the enterprise.
Other duties as assigned.