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# Director of Software Engineering

- **Company:** McKesson
- **Location:** Shenandoah, TX, United States
- **Experience:** Experienced
- **Salary:** $155,900.0 - $259,900.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Audit Trail, Health Informatics, Software as a Service, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Security, Data Sharing, Dataspaces, Distributed Systems, Electronic Data Interchange (EDI), Interoperability, Python (Programming Language), Metadata, Release Management, Reliability Engineering, Cloud Services, Software Engineering, SQL Databases, Data Streaming, Apache Spark, Event Driven Architecture, Data Lakes, Performance Monitor, Data Management, Restful APIs, Data Pipelines, Databricks, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/85e2be98-0e42-455b-97ff-24232a1995b4/director-of-software-engineering

## About the Role

* Degree or equivalent experience. Typically requires 12+ years of professional experience and 4+ years of management experience.
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 * 12+ years of technology experience, with substantial depth in data engineering, data platforms, analytics engineering, or related disciplines, including 4+ years in technical leadership roles overseeing multiple teams or managers.
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 * Data Engineering Expertise: Deep experience designing and operating enterprise-scale cloud data platforms, lakehouse and warehouse solutions, batch and streaming pipelines, data models, reusable data products, and secure data-sharing capabilities. Strong knowledge of Databricks, Apache Spark, Python, SQL, Delta Lake, orchestration, event streaming, metadata, lineage, observability, and data quality controls.
\n, * Domain Knowledge: Familiarity with enterprise security, compliance, interoperability, data privacy standards, and healthcare data ecosystems. Healthcare technology experience or knowledge of regulated industries is highly valued, with an understanding of HIPAA, PHI, interoperability standards, and healthcare analytics as a plus., * Healthcare & Enterprise Experience: Prior leadership of data engineering teams in healthcare technology, value-based care, clinical analytics, payer-provider solutions, or another regulated environment is strongly preferred. Experience modernizing legacy data estates, adopting cloud lakehouse platforms, and integrating data platforms with enterprise SaaS applications is a plus.

## Description

This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work-from-home model. If located in DFW area, the selected candidate may be expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated according to team needs and business priorities., The Director, Software Engineering provides strategic, technical, and people leadership for Ontada's engineering organization. This leader owns the vision and execution for scalable healthcare data platforms, pipelines, data products, analytics, and integrations that power value-based care programs and actionable clinical and business insights. The role requires deep expertise in modern data engineering, including cloud data platforms, batch and streaming architectures, data quality, governance, interoperability, and secure handling of healthcare data. Experience leading enterprise web and SaaS application engineering-including microservices, APIs, distributed systems, and cloud-native delivery-is also required but serves as a secondary capability that enables end-to-end VBC solutions. The Director partners with Product, Analytics, Data Science, Clinical Informatics, Architecture, Security, and Operations to translate VBC strategy into reliable, trusted, and measurable technology outcomes., * Data Engineering & Platform Leadership: Define and lead the technical vision for Ontada's VBC data ecosystem, including cloud data platforms, lakehouse and warehouse architectures, batch and streaming pipelines, shared data services, and governed data products.
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 * VBC Strategy & Execution: Build and deliver multi-release roadmaps that support value-based care workflows, quality measurement, performance reporting, risk and population insights, and partner data exchange. Align investments to product priorities, customer outcomes, regulatory needs, and measurable business value.
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 * Team Leadership: Lead managers, architects, data engineers, analytics engineers, and software engineers within the organization. Set clear accountability, strengthen technical leadership, and build a high-performance culture grounded in engineering discipline, collaboration, and continuous improvement.
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 * Data Quality & Operational Excellence: Establish standards for data contracts, lineage, observability, reconciliation, testing, metadata, incident management, and service-level objectives. Drive root-cause analysis and durable fixes that improve the accuracy, timeliness, reliability, security, and auditability of data.
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 * Architecture & Innovation: Provide hands-on oversight of data architecture and critical design decisions. Advance modern patterns using Databricks, Spark, Python, SQL, Delta Lake, orchestration, event streaming, cloud services, AI/ML, and automation where they create clear value.
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 * Healthcare Data Products & Integration: Deliver reusable, trusted data products and integrations across clinical, claims, quality, financial, and operational domains. Support healthcare interoperability and partner exchange using appropriate standards, APIs, and event-driven patterns.
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 * Application Engineering Oversight: Ensure the VBC data platform integrates effectively with enterprise web and SaaS applications. Guide teams on microservices, REST APIs, distributed systems, cloud-native engineering, CI/CD, security, scalability, and production reliability.
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 * Stakeholder & Partner Collaboration: Work closely with Product, Clinical Informatics, Analytics, Data Science, Architecture, QA, Security, SRE/Operations, customers, and external partners to define outcomes, resolve priorities, and communicate VBC technology strategy, delivery status, risks, and decisions.
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 * Talent Development: Attract, develop, and retain top engineering and data talent. Provide coaching and growth opportunities for software engineers, data engineers, architects, and emerging leaders while building a strong leadership pipeline. Instill a passion for technology, innovation, data excellence, and customer focus throughout the organization.
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 * Governance & Compliance: Ensure all development and data management activities adhere to healthcare industry regulations, privacy and security standards, data governance policies, and McKesson's internal quality frameworks. Implement robust governance around architecture standards, data stewardship, release management, and risk controls to maintain compliance and reliability.
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