Senior Solutions and Data Architect - Asset Management
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We exist to help people achieve financial clarity. At Thrivent, we believe money is a tool, not a goal. Driven by a higher purpose at our core, we are committed to providing financial advice, investments, insurance, banking and generosity programs to help people make the most of all they've been given. At our core, we are a membership-owned fraternal organization, as well as a holistic financial services organization, dedicated to serving the unique needs of our clients. We focus on their goals and priorities, guiding them toward financial choices that will help them live the life they want today-and tomorrow. Job Summary The Senior Solutions and Data Architect is a trusted advisor responsible for setting architectural direction and advancing technical excellence across Asset Management. This role is a subject matter expert who leads both data and solution architecture for critical investment vendor platforms and internally built applications, ensuring scalable, secure, and well-governed systems that support research, portfolio management, trading, operations, and downstream reporting workflows. This role partners closely with the business, analysts and engineering teams to translate business needs into technical designs and a clear, phased roadmap balancing rapid delivery with long-term architectural integrity. Additionally, in collaboration with Thrivent's corporate IT function, this architect establishes architecture patterns and data product standards (metadata, lineage, quality, access controls, and regulatory traceability), advises on master data management and entity resolution for critical investment domains, and helps enable front-to-back workflow connectivity across investment, operations, and reporting processes. This role is also responsible for evaluating and guiding adoption of modern data platforms through proofs of concept and benchmarks, shaping architecture decisions across internal and vendor platforms, and helping modernize both cloud and legacy environments with resilient, secure integration patterns. The Senior Solutions and Data Architect identifies and validates high-value AI and emerging-technology use cases, defines reusable guardrails in partnership with security/risk/compliance/enterprise architecture. Finally, the architect is expected to provide hands-on leadership through mentoring, coaching, and enabling a culture of continuous improvement. Job Responsibilities and Duties Data Architecture Shape the modern data architecture, translating front-office investment and operations needs into a clear, phased roadmap. Own core investment data models and standards (IBOR, ABOR, PBOR, and other related data sets) with consistent, canonical definitions. Define patterns for processing unstructured and semi structured data sets. Establish data product standards aligned with enterprise architecture to ensure data is reliable, governed, compliant, and fit for analytics, risk, reporting, operational, and front-office investment workflows. Contribute hands‑on expertise to data governance, including metadata, lineage, data quality, and regulatory traceability. Evaluate and guide adoption of modern data platforms (e.g., Snowflake, Databricks), using proof of concepts and benchmarks to inform design decisions. Partner closely with investment data enablement team to design solutions, review implementations, and facilitate delivery. Develop data security, access controls, and privacy requirements. Establish data observability and reliability practices to monitor pipeline health, quality, and SLAs. Solution Architecture Partner with investment and technology teams to translate business needs into scalable solution designs and roadmaps that support front office, operational, and reporting workflows. Design end‑to‑end architectures and integration patterns across internal and vendor platforms, ensuring reliable data flow, security, and resilience. Work hands‑on with engineering teams throughout delivery to refine. designs, validate patterns, remove architectural blockers, and ensure solutions work as intended in production. Define and promote architecture patterns and engineering standards in partnership with corporate IT and enterprise architecture, ensuring consistent adoption across teams. Provide architectural leadership for large programs, platform modernization, and vendor/platform evaluations, influencing buy, build, and integration decisions. Review and approve solution designs to ensure alignment with enterprise standards, security, and operating needs. Lead cloud and legacy modernization efforts, including guidance on multi‑region, resilient architectures. Contribute code and automation as needed (e.g., services, infrastructure templates, accelerators). Support agile delivery by balancing rapid iteration with long‑term architectural integrity. Modern Technology Exploration Validate high‑value AI use cases across Asset Management using proofs of concept to demonstrate value, feasibi
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