Data & Analytics Architect

Velociti•Riverside, MO

1d•Onsite

About The Position

Velociti, LLC is seeking a Data & Analytics Architect to serve as a senior technical leader responsible for designing, implementing, and evolving the company’s enterprise data architecture. This role supports advanced analytics, AI initiatives, and digital transformation by enabling scalable, secure, and intelligent data ecosystems that deliver real-time insights and support data-driven decision-making across the organization. As part of the Business Intelligence and Architecture organization, the Data & Analytics Architect partners closely with Enterprise Architects, AI Engineers, Application Development, Digital Experience, IT, and Business Operations teams. This role also plays a critical part in mergers and acquisitions by ensuring data continuity, integration, and governance across acquired systems and entities. This position reports to the Senior Director of AI & Architecture.

Requirements

Minimum of seven (7) years of experience designing and implementing enterprise data solutions using platforms such as Salesforce Data Cloud (360), Snowflake, MuleSoft, Tableau, Nextworld, Microsoft 365, or similar technologies
Proven experience with data integration, data platform architecture, and analytics enablement in complex cloud and hybrid environments
Strong understanding of data management, master data concepts, and governance frameworks
Demonstrated ability to design secure, scalable, high-performance data solutions
Experience supporting or leading data integration initiatives during mergers and acquisitions
Excellent communication, analytical, and problem-solving skills with the ability to engage executive and technical audiences
Experience producing detailed technical documentation, architecture diagrams, and requirements specifications
Bachelor’s degree in Data Science, Computer Science, Information Systems, or related discipline

Nice To Haves

Salesforce Data Architect and/or Data Cloud (360) Specialist certification
Snowflake certification
MuleSoft Certified Integration Architect or Developer certification
Tableau certification or comparable analytics credential

Responsibilities

Data Architecture & Platform Enablement Architect and implement enterprise-wide data platforms leveraging Salesforce Data Cloud (360), Snowflake, MuleSoft, Tableau, Nextworld, Microsoft 365, and related technologies
Design and maintain enterprise data models, integration frameworks, and data pipelines across cloud and hybrid environments
Lead data integration strategy for mergers and acquisitions, including onboarding and harmonization of data assets and systems
Collaborate with IT Infrastructure and Application Development teams to ensure alignment with security, integration, and architectural standards
Support product development initiatives by delivering reusable, analytics-ready data solutions
Analytics Enablement & Cross-Functional Collaboration Partner with Digital Experience, Application Development, IT, and Business Intelligence teams to translate business needs into analytics and data capabilities
Work directly with business stakeholders to define end-to-end data flows, analytics requirements, and technical capabilities
Serve as a trusted technical advisor and liaison between executive leadership and delivery teams
Data Governance, Quality & Compliance Establish and enforce enterprise data governance standards for data quality, security, compliance, and stewardship
Ensure data integrity, consistency, and reliability across platforms, systems, and business domains
Develop and maintain architecture standards, design patterns, and supporting documentation
Innovation, Standards & Documentation Evaluate emerging technologies to enhance analytics capabilities and scalability
Maintain awareness of platform updates and evolving data architecture methodologies
Create and maintain technical documentation, architecture diagrams, and enterprise data models
Mentorship & Knowledge Leadership Mentor Enterprise Architects, AI Engineers, and development teams to promote best practices and architectural consistency
Promote data literacy and knowledge sharing across technical and business teams