Enterprise Data Architect
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Job Description
Principal Architect for CSAA Insurance Group designing and delivering secure, scalable data and AI platforms. Leading collaboration across technical teams and aligning strategies with business capabilities.
Responsibilities:
- CSAA Insurance Group is seeking a Principal Architect to serve as our Enterprise Data Architect
- Supporting the design and delivery of secure, scalable data and AI platforms across the enterprise
- Facilitating designs and building solutions across the enterprise
- Solutions are built in a highly collaborative environment, partnering with engineering, product, and program leaders
- Leads and provides direction to Application Integration, Data, and Platform architecture vision for the enterprise
- Integrates a broad range of ideas regarding technical and solution architecture
- Creates, guides, and partners with other architects in creating and maintaining roadmaps that connect business strategies to capabilities
- Enables AI/ML use cases by supporting data pipelines, feature engineering, and model integration
- Balances speed and control to support business innovation
Requirements:
- Bachelor's degree in related area (Computer Science, Information Systems, or other related field)
- 10+ years Systems development and business experience designing solutions for multiple types of systems, client users and/or units across an organization
- 5+ years Technical experience in current domain level for design, execution and deployments
- Experience in Cloud implementations (preferably AWS)
- Provide strong end-to-end leadership in the definition and build out of solutions as part of project teams
- Hands-on experience with modern data platforms (Snowflake, Databricks, etc.), modern AI / ML platforms (Palantir, DataRobot, etc.), and cloud-native architectures
- Identify, plan, and implement improvements to deployment/release pipelines
- Demonstrable experience with leading tools and techniques in the domain, applicable to a multi-platform environment
- Demonstrated ability to work in a sophisticated organization to determine information systems needs and to build the environment to facilitate the development of systems to meet those needs
- Experience designing data pipelines and analytics platforms; understanding of data modeling, storage, and access optimization
- Experience with API design and integration patterns, streaming technologies, and data orchestration tools
- Ability to lead engineers and architects
Benefits:
- total compensation package
- annual bonus eligibility for most roles
- 401(k) with a company match
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