Director, Data Engineering and Integration Services

Overview

JOB SUMMARY

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.

Responsibilities

Essential Functions

-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