{"id":4242021,"url":"https://alion.io/job/hfsinclair-data-architect","title":"Data Architect","company":{"id":1907680,"name":"HF Sinclair","domain":"hfsinclair.com","url":"https://alion.io/company/hfsinclair","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alteryx","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Collibra","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hallucination","optional":false},{"name":"Informatica","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"RAG","optional":false},{"name":"Replicate","optional":false},{"name":"SAP BTP","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"SAP BW","optional":false},{"name":"Snowflake","optional":false},{"name":"Streamlit","optional":false},{"name":"ABAP","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Cortex","optional":true},{"name":"Databricks","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-01T08:00:00Z","employer_posted_date":"2026-11-01","last_verified_at":"2026-11-14T21:54:26Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Basic Function\nHF Sinclair's Data 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.\nJob Duties\nDefine 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.\nArchitect 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.\nDefine architecture standards for data science, AI/ML, feature engineering, model deployment, monitoring, retraining, and MLOps/LLMOps.\nArchitect secure AI-agent and generative AI solutions using foundation models, RAG, embeddings, vector search, orchestration, APIs, tools, and human oversight.\nEstablish reusable AI data services, including governed ingestion, indexing, semantic retrieval, evaluation datasets, and source-to-response traceability.\nPartner with data science, ML engineering, application, security, risk, and business teams to operationalize AI solutions with measurable value and governance.\nDefine responsible AI controls covering privacy, security, safety, evaluation, hallucination testing, explainability, auditability, and production monitoring.\nDesign 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.\nEstablish 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.\nGovern 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.\nEmbed scalability, reliability, resiliency, maintainability, security, role-based access, segregation of duties, SOX, audit evidence, compliance, and data-retention controls into architecture and delivery patterns.\nAssess 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.\nProvide 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.\nAlign 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.\nSpecial assignments or tasks assigned to the employee by their superior, as determined from time to time in their sole and complete discretion.\nExperience\nA 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.\nEducation Level\nA minimum of a bachelor’s degree in computer science, information systems, data management, engineering, data analytics, or a related technical field is required.\nRequired Skills\nExperience 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.\nStrong 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.\nWorking knowledge of data science and AI/ML concepts, including statistical analysis, feature engineering, model evaluation, deployment, monitoring, and MLOps practices.\nUnderstanding of generative AI and agent architecture, including foundation models, RAG, embeddings, vector databases, prompt engineering, orchestration, guardrails, and evaluation.\nStrong 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.\nStrong knowledge of data governance, metadata, lineage, quality, MDM, classification, privacy, role-based access, SOX, auditability, retention, control evidence, and stewardship operating models.\nStrong 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\nKnowledge 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.\nAbility 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.\nStrong 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.\nUnderstanding oil and gas processes, preferably refining, commercial, logistics, supply chain, trading, operations, or finance.\nPreferred Skills:\nExperience 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.\nExperience with Python, SQL, notebooks, ML frameworks, experiment tracking, Azure AI, Snowflake Cortex, Copilot Studio, and similar AI/ML technologies.\nExperience designing AI agents, RAG solutions, intelligent applications, and governed AI products integrated with enterprise data and workflows.\nSupervisory/Managerial Responsibility\nNone.\nWork Conditions\nOffice 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.\nBenefits\nHF 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:\nMedical Insurance\nVision Insurance\nDental Insurance\nPaid Time-Off\n401(k) Retirement Plan with match\nEducational Reimbursement\nParental Bonding Time\nEmployee Discounts\nWe are committed to fostering a supportive and inclusive work environment, ensuring our employees have the resources needed to thrive professionally and personally. Benefit eligibility is governed by official plan documents, for more details visit Total Rewards.\nPhysical Requirements\nJob 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.\nOur One HF Sinclair Culture:\nAt 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.\nAbout HF Sinclair Corporation\nHF 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 1,750 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 Mexico. In 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.\nEqual Opportunity Employer\nHF Sinclair Corporation is an Equal Opportunity Employer. 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