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HF Sinclair

Refines petroleum; markets fuels and lubricants

Senior Data Security Engineer

Security Engineering & ArchitectureUpdated on Nov 14
Full-timeDallas, TX, USANo salary listed

About the Job

Requirements

  • A minimum of 8 years in cybersecurity or security engineering, with deep hands-on experience in data security or application security.
  • A minimum bachelor's degree in information technology, Cybersecurity, Computer Science, or a related field.
  • Proven ability to design and operationalize security controls, not just select tools.
  • Proven ability to implement optimal security controls for AI-driven data access paths and automation systems that balance risk reduction with innovation enablement.
  • Proven ability to secure data hosted on-premises, in the cloud, and in SaaS environments.
  • Strong understanding of application and API security, identity-based access models, data access monitoring, and enforcement.
  • Ability to operate comfortably in ambiguous environments and establish clarity through execution.
  • Ability to collaborate across cross-functional teams and business units to deliver solutions.
  • Ability to build strong working relationships and foster open communication and mutual accountability.
  • Ability to facilitate alignment between business, IT, and external partners through consultative engagement.
  • Ability to contribute actively to team discussions, decision-making, and problem-solving activities.
  • Ability to influence stakeholders across business and IT to gain agreement on ideas, strategies, and initiatives.

Responsibilities

  • Define and maintain data security reference architectures and control patterns focused on application-mediated data access; API exposure and service-to-service data flows; and automation, orchestration, machine-driven access, and AI/ML workloads.
  • Define and monitor data security capability maturity across structured, unstructured, and application-centric domains, aligned to the enterprise cybersecurity taxonomy.
  • Translate architectural intent into implementable standards and technical design criteria that engineering teams can execute without ambiguity.
  • Define and maintain enterprise data classification, labeling, and protection standards across structured and unstructured data.
  • Participate in architecture reviews and modernization initiatives to ensure secure data handling requirements are incorporated into application, cloud, analytics, integrations, and automation solutions.
  • Lead technical efforts to identify and reduce existing data exposure, emphasizing access path patterns and permissions across SaaS, cloud services, third-party integrations, and business applications; application and API data flow monitoring; and data protection capabilities supporting classification, monitoring, access governance, and data loss prevention requirements.
  • Design and implement controls that operate at execution points, including data access monitoring tied to application context and enforcement patterns beyond static data loss prevention or perimeter controls.
  • Serve as the technical advisor for securing data used in analytics, automation, and AI initiatives.
  • Collaborate with peer IT and business teams to embed security controls into data pipelines, feature stores, and model interaction layers.
  • Sequence AI-related security work to avoid increasing risk through premature enablement.
  • Provide targeted cloud security engineering support where it directly impacts data exposure, including cloud storage, data platforms, SaaS, and identity-driven data access patterns.
  • Collaborate with technical peers on generalized cloud posture management, particularly where it directly reduces data risk.
  • Define data-centric detection and response patterns to improve monitoring.
  • Partner with SOC and Engineering teams to ensure response workflows are realistic, tested, and actionable.
  • Complete special assignments or tasks assigned by the employee's supervisor.

Desired Qualifications

  • Experience designing security for data platforms, analytics, or AI-adjacent systems.
  • Background in cloud-native application architectures.
  • Experience with Snowflake, Azure, Purview, MS SQL, and endpoint security.
  • Prior experience acting in a first-of-its-kind or foundational security role.

About the Company

HF Sinclair

Refines petroleum; markets fuels and lubricants

HF Sinclair is an independent energy company with operations across refining, midstream, and marketing, plus involvement in renewable diesel, specialty lubricants, asphalt, and chemicals. It refines crude oil into light products such as gasoline, diesel, and jet fuel, and also produces renewable diesel and other specialty products for commercial and industrial customers. Its five-area structure covers downstream refining, midstream logistics, and marketing to a diverse customer base, with additional international activity in Canada and the Netherlands. Unlike many peers that focus on a single segment, HF Sinclair integrates multiple stages of the energy value chain—from producing and processing fuels to distributing them—while expanding into renewable and specialty product areas. The company aims to grow its footprint across the energy value chain, broaden its product slate (including renewables and chemicals), and strengthen its presence in North American and international markets.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Dallas, TX
Founded
1947

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