Solutions Architect

Vizient, Inc

. Lead technical adoption of the Spend Data Management data-product model .

Posted 11/6/2026full-timeUnited StatesSeniorLead💰 $135,200 - $236,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable, resilient architectures for enterprise Master Data Management (MDM) solutions, with a strong focus on data quality, security, and compliance. Proven ability to lead architectural reviews, mentor engineering teams, and drive modernization initiatives across cloud platforms and data products.

Highest-signal resume keywords

Enterprise MDM ArchitectureHigh-Volume Data SolutionsCloud Data PlatformsArchitecture ReviewsMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureMaster Data ManagementData QualityScalabilityThroughputReliabilityAPIsIntegrationsEvent-Driven SystemsDistributed Services

Soft Skills

MentoringInfluencing Technical DecisionsTeam Capability Development

Tools & Technologies

Informatica MDMTibco EBXDatabricksSnowflakeMicrosoft Azure Data ServicesStardogSemantic Technologies

Industry Keywords

Data GovernanceEnterprise SecurityComplianceOperational ReadinessModern Engineering Practices

Tech Stack

Tools & technologies

AzureCloudInformaticaSnowflake

About the role

Key responsibilities & impact

Lead technical adoption of the Spend Data Management data-product model
Design end-to-end solution and reference architectures across master data, data products, applications, APIs, integrations, cloud platforms, eventing, data quality, identity, security, and semantic technologies
Translate business capabilities and requirements into secure, scalable, resilient architectures and reusable MDM capabilities
Architect high-volume data solutions processing millions of records
Provide architectural leadership across multiple products and guide engineering teams and implementation partners through design, delivery, production readiness, and technical evolution
Partner with Product, Engineering, Platform Engineering, CloudOps, Security, Enterprise Architecture, data stewards, business stakeholders, and clients
Establish architecture standards, shared services, reusable capabilities, engineering practices, data-contract standards, and reference architectures
Lead architecture reviews for designs, vendor choices, integration contracts, and production-readiness decisions
Define and govern transition architectures for modernization and migrations to modern cloud data platforms
Establish engineering practices for testing, release evidence, observability, operational readiness, incident learning, and technical-debt management
Evaluate emerging technologies and lead proofs of concept and reference implementations
Mentor technical leads and engineers and advise engineering leadership on architecture readiness, risks, tradeoffs, dependencies, and sequencing

Requirements

What you’ll need

Relevant degree preferred
7 or more years of related experience required
Strong architecture experience with enterprise MDM, including product and/or vendor mastering
Experience designing high-volume enterprise data platforms processing millions of records, with focus on scalability, throughput, reliability, data quality, and near-real-time availability
Experience designing solution and reference architectures across data products, APIs, integrations, cloud platforms, event-driven systems, identity, security, and distributed services
Experience leading complex modernization or platform-transition initiatives involving master-data platforms, enterprise data platforms, integrations, or cloud services
Experience leading architecture reviews, evaluating technology and vendor options, documenting tradeoffs, and guiding production-readiness decisions
Ability to mentor engineers, influence technical decisions, and raise team capability without formal people-management authority
Knowledge of enterprise security, privacy, compliance, data governance, identity, resiliency, observability, automated testing, CI/CD, operational readiness, and modern engineering practices
Experience with Informatica MDM, Tibco EBX, Databricks, Snowflake, Microsoft Azure data services, Stardog, ontologies, semantic technologies, or comparable enterprise MDM and modern data platforms preferred

Benefits

Comp & perks

Extensive opportunities for personal and professional development
Incentive eligible
Comprehensive benefits plan