Lead Data Architect

As of November 1, 2025, Sunoco LP has successfully completed its acquisition of Parkland Corporation. For more information, please visit

Competitive Benefits. Meaningful Extras. Unmatched Value.

As the Data Architecture Lead, you will guide the transformation and migration of our data ecosystem towards a modern, target‑state architecture built on Azure and Databricks, while ensuring continuity and integration with existing legacy environments (primarily AWS‑native data lake and SQL Server) as needed. This role demands a unique blend of technical expertise, strategic vision, and leadership to drive innovation and deliver business value through data.

• Platform Modernization & Migration
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  Driving the transition from legacy systems to Azure‑based architecture, ensuring interoperability and minimal disruption.
• Architecture & Engineering
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  Designing and implementing a high‑performing data platform leveraging Databricks, cloud‑native services, and common data models.
• Integration & Enablement
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  Ensuring the platform provides seamless data access and sharing capabilities, enabling stakeholders to easily discover, consume, and utilize trusted data assets.
• AI & GenAI Enablement
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  Helping build platform capabilities to support advanced AI workloads and emerging technologies for data‑driven decision‑making.
• Data Governance & MDM
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  Implementing strong governance frameworks and Master Data Management to maintain data integrity and compliance.
• Agile Delivery
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  Applying agile methodologies and tools such as Jira and Service Now to enable rapid iteration and continuous improvement.

• Develop and execute a comprehensive roadmap for data platform modernization, driving migration from legacy systems (AWS‑native data lake, SQL Server) to Azure and Databricks.
• Continuously monitor technology trends, emerging tools, and business needs to refine strategy and foster innovation.

• Data Strategy & Architecture
  • Define architecture principles and standards to ensure consistency across systems and platforms.
  • Develop and maintain a comprehensive enterprise data architecture that aligns with organizational goals and supports the modernization roadmap.
  • Create and maintain enterprise‑wide data standards, guidelines, and best practices for modeling, integration, and governance.
  • Provide strategic leadership on emerging data technologies such as knowledge graphs, real‑time analytics, and generative AI data foundations.
• Data Modeling & Master Data Management
  • Design logical and canonical data models that ensure interoperability, scalability, and alignment with enterprise architecture principles.
  • Build and maintain canonical data models to standardize data exchange across applications, integration layers, and business domains.
  • Provide leadership for enterprise master data management (MDM) strategy and implementation, including domain modeling, survivorship rules, golden record creation, and stewardship processes.
• Data Governance, Quality & Compliance
  • Collaborate with stakeholders to develop and enforce data governance policies, procedures, and standards.
  • Define and operationalize data lifecycle management processes, including creation, storage, usage, archival, and deletion.
  • Design end‑to‑end data and analytics solutions that meet business requirements and align with organizational goals.
  • Implement data quality frameworks covering profiling, cleansing, monitoring, and remediation.
• Data Platforms & Infrastructure
  • Lead data modernization initiatives, including migration planning, platform selection, and hybrid/multi‑cloud strategies.
  • Architect and optimize enterprise data platforms including data lakes, warehouses, and Lakehouse environments.
  • Implement metadata management strategies such as business glossaries, lineage, and cataloging to enhance data discoverability and trust.
• Data Integration & Interoperability
  • Develop enterprise data integration strategies using APIs, event‑driven architectures, ETL/ELT pipelines, and streaming platforms.
  • Collaborate with engineering teams to design APIs that enable efficient data exchange between internal systems and external platforms and promote…