Director, Data Engineering & Platform

United StatesRemoteFull-timeexecutive

EngineeringData Engineering

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Requirements Summary

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline; Master’s degree preferred. 9–12 years of progressive experience in technology leadership,

Technical Tools

EngineeringData Engineering

The Director, Data Engineering & Platform will lead the execution of enterprise data engineering and platform strategy across a complex, highly regulated organization.
This senior leadership role translates strategic direction into operating models, modernization roadmaps, engineering governance, and measurable business outcomes.
You will oversee multiple engineering organizations spanning data engineering, platform engineering, data integration, and data operations.
The role combines organizational leadership with technology execution, financial stewardship, vendor management, and enterprise partnership.
You will drive secure, scalable, resilient, cost-effective data capabilities supporting AI enablement, interoperability, reporting, and data-driven decision-making.
Working closely with technology, business, clinical, analytics, security, and governance leaders, you will shape long-term platform evolution and operational excellence.
This is a full-time remote opportunity offering significant influence over enterprise technology transformation and engineering leadership.

Translate enterprise data engineering and platform strategy into an executable operating model, multi-year modernization roadmap, delivery priorities, governance standards, and measurable outcomes.
Lead enterprise data engineering, platform engineering, data integration, and data operations, ensuring services are secure, scalable, resilient, observable, compliant, cost-effective, and operationally mature.
Establish engineering standards, service-level objectives, recovery expectations, deployment practices, reliability standards, automation approaches, and continuous improvement processes.
Direct multiple engineering managers and technical leaders while establishing organizational goals, performance expectations, accountability measures, workforce plans, succession strategies, and leadership development programs.
Partner with Enterprise Architecture, Information Security, Compliance, Infrastructure, Data Governance, Analytics, Product, Finance, clinical, and business leaders to align technology execution with organizational priorities.
Govern technology portfolios and investment priorities based on business value, operational risk, strategic alignment, cost, capacity, and expected outcomes.
Develop business cases and execution plans for platform modernization, cloud transformation, automation, AI enablement, and emerging technology adoption.
Own annual operating and capital budget planning for data engineering and platform services, including cloud spending, software licensing, procurement, vendor contracts, ROI analysis, and financial performance.
Lead vendor strategy, negotiations, managed service relationships, licensing decisions, and vendor performance management.
Monitor portfolio and organizational performance through executive dashboards, delivery health metrics, reliability indicators, cost trends, adoption measures, and business outcomes.
Represent data engineering and platform capabilities in executive planning, governance, prioritization, and strategic investment discussions.
Drive operational excellence through improved delivery predictability, production reliability, engineering quality, incident management, automation, release practices, and cross-functional alignment.

Requirements

~2 min read

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline; Master’s degree preferred.
9–12 years of progressive experience in technology leadership, data engineering, platform engineering, enterprise data platforms, cloud data platforms, or related disciplines.
5+ years of experience leading managers and highly technical teams within enterprise engineering, platform engineering, data engineering, integration, or data operations environments.
Demonstrated experience leading enterprise transformation, platform modernization, cloud transformation, or large-scale data engineering initiatives.
Proven ability to lead multiple engineering teams through managers, technical leaders, delivery partners, and vendors.
Experience managing or materially influencing multi-million-dollar operating and capital budgets, technology investment portfolios, ROI analysis, vendor management, and contract negotiations.
Strong executive communication skills, including the ability to present technology strategy, investment tradeoffs, delivery risks, and business outcomes to senior leadership.
Demonstrated success partnering across enterprise architecture, information security, compliance, analytics, product, finance, clinical, and business functions.
Strong knowledge of modern cloud data platforms, data engineering practices, platform operations, automation, reliability engineering, data governance, cybersecurity, and operational excellence.
Experience in healthcare or another highly regulated industry is preferred.
Experience supporting AI, machine learning, advanced analytics, interoperability, enterprise reporting, and digital transformation initiatives is desirable.
Experience with Databricks or comparable enterprise lakehouse, cloud data platform, data engineering, or analytics technologies is a plus.
Strong understanding of cloud-native engineering, data protection, observability, automation, and enterprise data governance frameworks.