Sr Data Architect

Benefits

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At TruStage, we're on a mission to make a brighter financial future accessible to everyone. We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance and financial services solutions, we push the boundaries of what's possible. We need you to help us shape what's next. You'll be encouraged to share your experiences, ideas and skills to help others take control of their financial future. Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition Job Responsibilities: Data Architecture Design & Leadership Leads the development and implementation of comprehensive, enterprise-wide data architecture frameworks that ensure consistency, scalability, and alignment with the organization's strategic goals. Oversees data architecture initiatives across multiple business units, ensuring seamless design and delivery of complex data solutions that address enterprise needs. Conducts architecture reviews and ensures that solutions meet scalability, security, performance, and reusability standards across the organization. Develops and maintains a forward-looking data architecture vision and roadmaps that supports the organization's long-term business strategy and digital transformation goals. Oversees enterprise-scale data integration initiatives, ensuring that data from multiple, diverse sources is integrated into a cohesive and unified architecture that supports business intelligence and advanced analytics. Provides technical leadership for data architecture, ensuring that advanced data modeling, storage, and integration practices adhere to industry best practices and organizational standards. Data Governance & Quality Management Incorporates data governance principles into architectural decisions, ensuring that data management practices adhere to organizational policies. Establishes and oversees data quality standards, including data cleaning, validation, and monitoring processes. Ensures that data security measures, such as access control and encryption, are appropriately implemented for sensitive data. Collaboration & Stakeholder Engagement Serves as the primary liaison to executive leadership on data architecture strategy, presenting strategic recommendations and influencing key decisions for enterprise data initiatives. Translates complex technical and architectural concepts into clear, business-relevant insights, ensuring alignment between data strategies and overall business outcomes. Builds and nurtures relationships with executive leadership, IT, and business unit leaders to champion the data architecture strategy across the organization. Technology Evaluation & Innovation Shapes the future direction of the organization's data architecture by staying informed on emerging technologies, evaluating their potential adoption, and leading the execution of future-state architectures. Develop in-depth knowledge of AI/Gen-AI impacts on Data engineering & management capabilities and work with AI/Innovation team to bring most relevant AI led intervention for Data teams. Evaluate new tools, platforms, and systems that could enhance the company's data infrastructure Collaborates with executive leadership to drive innovation and ensure the organization remains competitive by leveraging cutting-edge technologies and data practices. Champions proof-of-concept initiatives for new technologies and data solutions that align with the organization's strategic vision. Mentorship & Team Development Provides mentorship and leadership to data architects, engineers, and cross-functional teams, fostering talent and ensuring high-quality architecture solutions. Leads and guides cross-functional teams in the design and delivery of data architecture solutions, ensuring timely execution and adherence to enterprise standards. Helps build a culture of data-driven decision-making, fostering collaboration and skill development within the data architecture team. The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time. Job Requirements: Bachelor's degree in computer science, information systems, data science, or related field, or equivalent combination of education and/or related professional work experience. 10+ years of total experience in technology, at least 8 of which are in enterprise data architecture and/or data strategy. Proven experience in leading large-scale data architecture projects in complex, enterprise environments. Extensive in the design and implementation of modern data architectures and concepts such as cloud services (MS-Fabric, Azure, AWS, GCP), real-time data distribution solutions/approach and modern data platform tools (Snowflake, Databricks, etc.). Deep experience with cloud platforms such as MS-Fabric, Azure and Snowflake, and tools like Data Factory, Power BI, Copilot, etc. In-depth knowledge of data governa

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