Enter a job title or keyword
Data Architect
Job Location:
Job Location:
Dallas, TX - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 September 2026 (2 days ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Basic Function
HF SinclairsData Architect designs and governs secure scalable trusted and reusable enterprise data architecture across the oil and gas value chain. The role translates business and technical needs into target-state and transition architectures spanning source systems integration data engineering cloud platforms governance analytics data products and AI/ML while partnering with business engineering application security infrastructure governance analytics and enterprise architecture teams. The role also architects governed data foundations and reusable services for data science machine learning generative AI and enterprise AI agents.
Job Duties
- Define enterprise data principles standards reference architectures roadmaps reusable patterns and architecture decision guidance; create conceptual logical physical dimensional relational canonical master-data and semantic models.
- Architect data warehouses lakes lakehouses curated layers data products and semantic models that support reporting Power BI governed self-service analytics Streamlit or similar data applications AI agents intelligent applications AI/ML and advanced analytics.
- Define architecture standards for data science AI/ML feature engineering model deployment monitoring retraining and MLOps/LLMOps.
- Architect secure AI-agent and generative AI solutions using foundation models RAG embeddings vector search orchestration APIs tools and human oversight.
- Establish reusable AI data services including governed ingestion indexing semantic retrieval evaluation datasets and source-to-response traceability.
- Partner with data science ML engineering application security risk and business teams to operationalize AI solutions with measurable value and governance.
- Define responsible AI controls covering privacy security safety evaluation hallucination testing explainability auditability and production monitoring.
- Design end-to-end ingestion ETL/ELT replication transformation orchestration and delivery of raw curated and analytical data from SAP and other enterprise systems to Snowflake SAP BW cloud and analytics platforms; guide performance observability reconciliation restart recovery and maintainable pipeline design.
- Establish enterprise integration-backbone standards for API-led event-driven application-to-application B2B batch near-real-time and governed file-based exchange with internal systems vendors clients partners and financial institutions; define canonical models schema evolution encryption identity monitoring auditability retention error handling and service levels.
- Govern data ownership stewardship critical data elements metadata lineage quality classification access privacy reference data master data and MDM operating-model requirements across refining commercial logistics supply chain trading finance and operations.
- Embed scalability reliability resiliency maintainability security role-based access segregation of duties SOX audit evidence compliance and data-retention controls into architecture and delivery patterns.
- Assess platform interoperability and recommend fit-for-purpose capabilities across Snowflake Azure Microsoft Fabric Power BI SAP BW SAP BusinessObjects SAP BTP Integration Suite Azure Data Factory Qlik Replicate and Compose Cognite Streamlit Informatica Alteryx Collibra managed file transfer RPA data catalog MDM and comparable technologies.
- Provide architecture oversight for modernization cloud and database migration reporting rationalization integration modernization archival legacy coexistence technical-debt reduction and data-product delivery; document data flows solution options standards sequencing and executive recommendations.
- Align data products and analytics with strategic insight operational decisions accounting accuracy reconciliation process automation business agility adoption and measurable outcomes; serve as a pragmatic technical advisor across delivery teams and senior stakeholders.
Experience
A minimum of 10 years of experience required. Five years of job related SAP work experience and five years of non-sap architecture experience is required.
Education Level
A minimum of a bachelors degree in computer science information systems data management engineering data analytics or a related technical field is required.
Required Skills
- Experience in data architecture data engineering data modeling enterprise analytics integration cloud data platforms or related technology roles including cross-functional delivery with business application engineering analytics governance security infrastructure and enterprise architecture teams.
- Strong knowledge of conceptual logical physical dimensional relational canonical master-data and modern analytical modeling; data warehouses lakes lakehouses cloud platforms curated layers BI and semantic models.
- Working knowledge of data science and AI/ML concepts including statistical analysis feature engineering model evaluation deployment monitoring and MLOps practices.
- Understanding of generative AI and agent architecture including foundation models RAG embeddings vector databases prompt engineering orchestration guardrails and evaluation.
- Strong understanding of API-led event-driven application B2B managed file transfer batch and near-real-time integration plus ETL/ELT replication orchestration observability reconciliation performance restart and recovery patterns.
- Strong knowledge of data governance metadata lineage quality MDM classification privacy role-based access SOX auditability retention control evidence and stewardship operating models.
- Strong communication collaboration and stakeholder-management skills with the ability to work effectively across cross-functional technology teams and business stakeholders build alignment facilitate decisions and clearly communicate complex architecture concepts to technical and non-technical audiences
- Knowledge of data product operating models including domain ownership product lifecycle management data contracts discoverability quality SLAs metadata reuse value realization and self-service consumption patterns across analytics AI and business capabilities.
- Ability to translate requirements into scalable designs evaluate trade-offs manage technical complexity influence architecture decisions and communicate clearly through architecture artifacts and executive-ready recommendations. Experience defining and governing data products that align business outcomes architecture standards governance requirements and platform capabilities.
- Strong documentation skills with the ability to translate complex technical architectures into clear business-friendly deliverables. Proficient in Microsoft Word Visio PowerPoint and related collaboration tools for creating architecture diagrams solution designs technical specifications process flows and executive presentations.
- Understanding oil and gas processes preferably refining commercial logistics supply chain trading operations or finance.
Preferred Skills:
- Experience with Snowflake Databricks Azure Microsoft Fabric Power BI SAP BW SAP BusinessObjects SAP BTP Integration Suite Azure Data Factory Qlik Replicate and Compose Cognite Streamlit Informatica Alteryx Collibra managed file transfer RPA or similar enterprise data integration analytics and AI technologies.
- Experience with Python SQL notebooks ML frameworks experiment tracking Azure AI Snowflake Cortex Copilot Studio and similar AI/ML technologies.
- Experience designing AI agents RAG solutions intelligent applications and governed AI products integrated with enterprise data and workflows.
Supervisory/Managerial Responsibility
None.
Work Conditions
Office based with travel up to 30% required by land or air. Subject to varying road and weather conditions. Occasional long hours as well as nights and weekends as needed.
Benefits
HF Sinclair offers a comprehensive benefits package designed to support the well-being of our employees and their families. Our benefits include but are not limited to the following:
- Medical Insurance
- Vision Insurance
- Dental Insurance
- Paid Time-Off
- 401(k) Retirement Plan with match
- Educational Reimbursement
- Parental Bonding Time
- Employee Discounts
Physical Requirements
Job conditions require standing walking sitting twisting stooping crouching kneeling lifting or carryings pushing or pulling up to 50 lbs. climbing up to 15ft working in confined spaces talking or hearing making visual inspections making precise hand and finger movements reaching or grasping; perceiving color differences; ability to wear personal protective equipment.
Our One HF Sinclair Culture:
At HF Sinclair we are united through our One HF Sinclair Culture which is underpinned by our five core values of Safety Integrity Teamwork Ownership and Inclusion. Developed to empower our people our five core cultural values are at the heart of everything we do and extend to how we engage our stakeholders. These values influence our decisions shape our behaviors and keep us connected across the entire organization. We maintain a true Safety culture for our employees communities environments and customers. Our goal is to make sure everyone returns home safely each day. We have a long-standing commitment to Integrity and ethical behavior and do what is right for our employees investors communities and the environment. We encourage employees to Step Up and Stand Out by championing a culture of Teamwork and Ownership. We foster a culture of Inclusion by encouraging diversity of experiences viewpoints and backgrounds. What makes each of us different together makes us stronger.
About HF Sinclair Corporation
HF Sinclair Corporation headquartered in Dallas Texas is an independent energy company that produces and markets high-value light products such as gasoline diesel fuel jet fuel renewable diesel and lubricants and specialty products. HF Sinclair owns and operates refineries located in Kansas Oklahoma New Mexico Wyoming Washington and Utah. HF Sinclair provides petroleum product and crude oil transportation terminalling storage and throughput services to our refineries and the petroleum industry. HF Sinclair markets its refined products principally in the Southwest U.S. the Rocky Mountains extending into the Pacific Northwest and in other neighboring Plains states and supplies high-quality fuels to more than 1750 branded stations and licenses the use of the Sinclair brand to more than 350 additional locations throughout the country. HF Sinclair produces renewable diesel at two of its facilities in Wyoming and also at its facility in New addition subsidiaries of HF Sinclair produce and market base oils and other specialized lubricants in the U.S. Canada and the Netherlands and export products to more than 80 countries.
Equal Opportunity Employer
HF Sinclair Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability veteran status or any other prohibited ground of discrimination.
Required Experience:
Staff IC
About Company
An independent petroleum refiner in the United States with operations throughout the mid-continent, southwestern and Rocky Mountain regions. Subsidiaries of HollyFrontier produce and market gasoline, diesel, jet fuel, asphalt, heavy products and specialty lubricant products. Additiona ... View more
