Principal Data & Solution Architect

** Job Description*
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** The Principal Data / Solution Architect is the senior hands-on architect responsible for designing the reusable data and solution architectures that power the enterprise's data and digital products through MVP. Reporting to the Senior Director, Data & Digital Product Solution Architecture, this role translates architectural direction into concrete, buildable designs on the centralized, enterprise-agnostic medallion architecture models.*
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** This is a deep-expertise individual contributor role - the technical authority on data modeling, solution design, and the medallion architecture (Bronze/Silver/Gold). The Principal Architect works shoulder-to-shoulder with Data Engineering, Data Analysis & Products, Digital Product, and Analytics teams to design reusable assets, refactor bespoke work onto governed sources, and apply AI and automation to compress modeling time.*
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** This role is a critical execution counterpart to the engineering teams, ensuring that architectural intent is realized in production-ready, reusable designs rather than one-off builds. The Principal Architect sets the technical standard others build against and mentors engineers and analysts on architecture and modeling best practices.*
* ** Key Responsibilities*
* ** Data & Solution Architecture*
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** Design the reusable, scalable, enterprise-agnostic data models and solution architectures that underpin the enterprise medallion architecture.*
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** Produce concrete architecture artifacts - data models, solution blueprints, reference patterns, and design specifications - that engineering and product teams build against.*
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** Translate the Senior Director's architectural direction into buildable, production-ready designs aligned to enterprise standards.*
* ** Modeling & Silver-Layer Design*
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** Own the design of the medallion architecture, ensuring data is structured for reuse across multiple use cases rather than bespoke consumption.*
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** Define transformation logic, data relationships, semantics, and readiness criteria needed by Data Engineering and Analysis teams.*
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** Refactor raw, bespoke solutions onto the centralized, agnostic Silver model so value is captured once and reused many times.*
* ** AI-Accelerated Design & Automation*
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** Apply AI and automation to accelerate modeling, design, and documentation - compressing the modeling cycle that has historically slowed the path to production.*
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** Build and reuse accelerators, templates, and design patterns that turn learning-stage work into durable, production-ready assets.*
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** Embed human-in-the-loop checkpoints so acceleration never bypasses governance, security, or quality expectations.*
* ** Hands-On Delivery & Integration*
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** Partner directly with Data Engineering to ensure designs are implemented faithfully and promoted to production through governed CI/CD pipelines.*
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** Integrate data and digital product solutions onto shared, reusable sources, ensuring alignment with the enterprise medallion model.*
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** Validate that engineered datasets, data products, and integrated solutions reflect the architectural design and support reuse.*
* ** Technical Standards & Mentorship*
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** Serve as the technical authority on data and solution architecture, setting patterns and standards others build against.*
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** Mentor and guide engineers and analysts on modeling, architecture, and reusable design best practices.*
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** Contribute to the centralized library of reusable models, patterns, and components so every asset compounds the value of the next.*
* ** Required Experience & Capabilities*
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** Deep, hands-on experience as a data architect and/or solution architect in a complex enterprise data environment.*
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** Expert knowledge of medallion architecture (Bronze/Silver/Gold), reusable data modeling, and enterprise-agnostic data design.*
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** Proven ability to translate architectural direction into concrete, buildable data models and solution designs.*
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** Strong hands-on experience refactoring bespoke solutions into reusable, production-ready assets.*
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** Working knowledge of CI/CD pipelines, automated code evaluation, and controlled promotion to production.*
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** Demonstrated ability to apply AI and automation to accelerate modeling and design while preserving quality and governance.*
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** Strong technical communication and mentorship skills; experience in complex, regulated enterprises preferred.*
* ** Measures of Success*
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** Architecture and design artifacts are reusable, scalable, and consistently adopted across use cases.*
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** Bespoke and raw solutions are consistently refactored onto reusable, agnostic Silver sources.*
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** Modeling and design cycle time is measurably reduced through AI and automation.*
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** Designs are implemented faithfully and reach production through governed, automated pipelines.*
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** Engineers and analysts adopt the architectural patterns and standards the role…