Senior Data Architect

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TruStage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded CUNA Mutual Group, which was founded in 1935

💸 Finance

💳 Fintech

Insurance • Finance • Fintech

TruStage is a company delivering insurance, investment, and technology solutions designed to help individuals and businesses make informed and confident financial decisions. The company offers a comprehensive array of insurance products, including life, auto, home, and property insurance, as well as specialized insurance for businesses. TruStage also provides investment solutions like annuities and wealth management, along with technology solutions focused on compliance and e-commerce enablement. Recognized for helping clients manage risk and build financial security, TruStage has been serving customers since 1935 and continues to stand out as a highly-rated provider in the insurance industry.

📋 Description

• 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. • 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. • 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. • 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. • Evaluates 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. • 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.

🎯 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 governance frameworks, data security standards, and regulatory compliance (e.g., GDPR, CCPA). • Expertise in architecting solutions that span diverse platforms and technologies, ensuring data scalability and efficiency. • Mastery of data modeling & data modeling tools, data integration platforms, and metadata management systems. • Strong strategic thinking and leadership abilities, with proven experience driving enterprise-wide data architecture initiatives. • Exceptional communication and presentation skills, with the ability to influence and engage senior leadership, stakeholders, and cross-functional teams. • Ability to translate technical architecture decisions into business outcomes and build a consensus across departments.

🏖️ Benefits

• medical • dental • vision • employee assistance program • life insurance • disability plans • parental leave • paid time off • 401k • tuition reimbursement