Solutions Architect

Stefanini Group • Richmond, VA

6d • Hybrid

About The Position

Stefanini Group is hiring! Stefanini is looking for a Solutions Architect at Richmond, VA location (Hybrid Role). For quick Apply, please reach out to Akash Gupta: 248 728 2603/ [email protected] W2 candidates only! We are seeking an experienced Solutions Architect to design and implement enterprise-level data architecture solutions that align with our business objectives. In this critical role, you'll translate business requirements into technical specifications and create scalable, efficient data ecosystems that drive insights and innovation. Responsibilities: Responsible for the overall design of the enterprise wide data/information architecture, which maps to the enterprise architecture and balances the need for access against security and performance requirements. Knowledgeable in most aspects of designing and constructing data architectures, operational data stores, and data marts. Focuses on enterprise wide data modeling and database design. Defines data/information architecture standards, policies and procedures for the organization, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects. Facilitates consistent business analysis, data acquisition and access analysis and design, Database Management Systems optimization, archiving and recovery strategy, load strategy design and implementation, security and change management at the enterprise level. Translates strategic requirements into a usable enterprise information architecture, which may include an enterprise data model, associated metamodel, common business vocabulary, ontologies and taxonomies to be used to guide enterprise solution development and achieve consistency of information assets across the application portfolio. Develops a metadata management and repository strategy to manage all enterprise information architecture project artifacts. Ensures existing data/information assets are identified, stewarded and leveraged across the enterprise. Requires an understanding of emerging regulatory issues (e.g., consumer privacy laws, outsourced data and specific industry guidelines such as HIPAA) to develop internal and external checks and controls to ensure proper governance, security and quality of information assets. Key Responsibilities: Design comprehensive data architectures that support business intelligence, analytics, and data science initiatives Create detailed technical specifications for data storage, processing, and retrieval systems Develop data models, schemas, and integration patterns that enable seamless data flow across the organization Collaborate with stakeholders to understand business requirements and translate them into technical solutions Evaluate and recommend appropriate technologies for data warehousing, ETL/ELT, and analytics platforms Implement data governance frameworks and ensure compliance with policies Lead proof-of-concept initiatives to validate architectural approaches Mentor junior team members and provide technical guidance to development teams Create documentation for data architecture components, processes, and standards Stay current with emerging technologies and industry best practices #LI-AG #LI-HYBRID Details:

Requirements

• Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred)
• 7+ years of experience in data architecture, data engineering, or related roles
• Proven track record designing and implementing enterprise data solutions
• Expert knowledge of data modeling techniques (dimensional, relational, NoSQL)
• Strong experience with cloud data platforms (AWS specifically)
• Proficiency in data integration patterns and ETL/ELT methodologies
• Experience with data mesh architecture
• Working knowledge of big data technologies (Hadoop, Spark, Kafka, etc.)
• Familiarity with business intelligence and analytics tools
• Strong understanding of data governance principles

Nice To Haves

• Experience with real-time data processing architectures
• Knowledge of machine learning workflows and MLOps
• Certifications in relevant cloud platforms or data technologies
• Experience with data mesh or data fabric architectures
• Experience with DataOps and CI/CD for data pipelines

Responsibilities

• Responsible for the overall design of the enterprise wide data/information architecture, which maps to the enterprise architecture and balances the need for access against security and performance requirements.
• Knowledgeable in most aspects of designing and constructing data architectures, operational data stores, and data marts.
• Focuses on enterprise wide data modeling and database design.
• Defines data/information architecture standards, policies and procedures for the organization, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects.
• Facilitates consistent business analysis, data acquisition and access analysis and design, Database Management Systems optimization, archiving and recovery strategy, load strategy design and implementation, security and change management at the enterprise level.
• Translates strategic requirements into a usable enterprise information architecture, which may include an enterprise data model, associated metamodel, common business vocabulary, ontologies and taxonomies to be used to guide enterprise solution development and achieve consistency of information assets across the application portfolio.
• Develops a metadata management and repository strategy to manage all enterprise information architecture project artifacts.
• Ensures existing data/information assets are identified, stewarded and leveraged across the enterprise.
• Requires an understanding of emerging regulatory issues (e.g., consumer privacy laws, outsourced data and specific industry guidelines such as HIPAA) to develop internal and external checks and controls to ensure proper governance, security and quality of information assets.
• Design comprehensive data architectures that support business intelligence, analytics, and data science initiatives
• Create detailed technical specifications for data storage, processing, and retrieval systems
• Develop data models, schemas, and integration patterns that enable seamless data flow across the organization
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Evaluate and recommend appropriate technologies for data warehousing, ETL/ELT, and analytics platforms
• Implement data governance frameworks and ensure compliance with policies
• Lead proof-of-concept initiatives to validate architectural approaches
• Mentor junior team members and provide technical guidance to development teams
• Create documentation for data architecture components, processes, and standards
• Stay current with emerging technologies and industry best practices

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees