Data Architect

About the positionThe Data Architect plays a crucial role within the Data Strategy & Enterprise Architecture organization at Great American Insurance Group. This position is responsible for defining and operationalizing the data domain strategy, roadmap, and best practices in alignment with the business strategy and objectives. The Data Architect collaborates with various stakeholders to ensure efficient data capabilities and supports data business initiatives, ultimately focusing on delivering business value through effective data management and governance.Responsibilities• Provide partnership, domain expertise, direction, and accountability for strategic architecture plans, system design, and implementation standards for the data domain.,• Lead efforts to ensure data capabilities are operating efficiently, accurately, and with high quality.,• Collaborate with programs & projects to understand data dependencies, anticipate risks, and identify opportunities.,• Guide data project decisions based on the direction of the data domain roadmap.,• Contribute data domain expertise to feasibility and complexity assessments of potential future initiatives.,• Develop an integrated view of data capabilities and processes using a cohesive framework and industry best practices.,• Provide consulting and recommendations for data transformation initiatives and maturing existing data capabilities.,• Facilitate the definition and publication of data standards, best practices, and data roadmap synchronized with the overall enterprise architecture.,• Collaborate in the creation of conceptual and logical architecture and models to inform the physical design of data-related projects.,• Co-develop a data life cycle governance framework including standards, patterns, and controls.Requirements• Experience as a data architect or data engineer building large-scale data solutions.,• Bachelor's degree in Engineering, Information Technology, Computer Science, or a related field.,• Experience in architecting and large data modernization, data migration, and data warehousing, particularly with cloud-based data platforms like Snowflake.,• Experience with defining and operationalizing data strategy, data governance, data lineage, and quality standards.,• Extensive knowledge of data engineering, data integration, and data management concepts (e.g., APIs, ETL, MDM, CRUD, Pub/Sub).,• Experience with data modeling and structured/hierarchical datasets (e.g., JSON, XML).,• Engineering experience with large-scale system integration and analytics projects.,• Property & Casualty domain experience is a plus.Nice-to-havesBenefits• Competitive healthcare benefits,• Retirement benefits,• Paid time off for full-time and part-time benefit eligible employees