Find & Apply For Artificial Intelligence Engineer Jobs in Glen Allen, Virginia

MANAGING CONSULTANT

(ENTERPRISE

DATA ARCHITECT

)WHO WE AREEverforth Apex Systems is a leading global technology and digital engineering firm dedicated to helping organizations adapt, innovate, and thrive in a world of constant change. Leveraging deep industry insights and proven expertise, we deliver end-to-end solutions that accelerate time-to-value and realize our clients' digital visions across commercial and federal sectors.

Our comprehensive solution portfolio spans AI & data, cloud and infrastructure, digital engineering, customer experience, cybersecurity, enterprise platforms, application development, strategy, transformation, and managed services. Powered by proprietary assets, accelerators, and strong alliances with cutting-edge technology partners—including Adobe, AWS, Microsoft, Salesforce, and more—we turn complexity into progress and measurable business outcomes.

With a presence in over 70 markets across North America, Europe, and India, Everforth Apex Systems innovates alongside our customers, building and deploying tailored artificial intelligence solutions to enhance business value and improve customer experiences. As part of the commercial segment of Everforth, we are committed to driving the next wave of global IT services and digital transformation.

JOB DESCRIPTIONWe are hiring a principal-level Enterprise Data Architect responsible for architecting and evolving modern data solutions. This role blends deep practical architectural expertise, enterprise strategy, and customer- facing leadership. The ideal candidate has extensive experience modernizing enterprise data ecosystems and enabling AI readiness through modern data architectures, Master Data Management (MDM), semantic and context layers, and knowledge graph technologies. They can bridge legacy and cloud-native platforms while helping clients establish the trusted data foundations required for analytics, AI, and agentic applications at scale. The architect will also help shape a single, cohesive data offering supported by accelerators, patterns, and strategic partnerships.

As a consulting position, the work location for this role varies according to client needs. Accordingly, this is not a remote position. While some assignments may be performed largely remotely, other assignments require fully on-site work, hybrid work, and/or occasional travel.

JOB RESPONSIBILITIES

• Architect data solutions supporting internal and external applications, analytics, AI, and reporting usecases across the full data lifecycle.
• Define and guide data integration and access patterns, including APIs, pipelines, batch processing,streaming, and event-driven architectures.
• Develop, maintain, and communicate the enterprise data architecture blueprint, including platforms,data models, integration patterns, standards, and reusable architectural guidance.
• Establish multi-year architecture roadmaps for data platforms and capabilities, balancing modernization, innovation, resiliency, cost, and risk.
• Lead and participate in architecture reviews and design discussions, providing guidance at criticaldecision points.
• Establish and promote best practices for data management and architectural consistency across theenterprise.
• Influence architecture, investment, and prioritization decisions through clear communication,evidence, and measurable business impact.
• Lead enterprise data foundation initiatives including Master Data Management (MDM), reference data strategies, semantic models, and business context frameworks that improve data consistency and AI usability.
• Ensure architectures support security, privacy, and regulatory compliance, particularly in regulatedindustries.
• Design semantic, ontology-driven, and knowledge graph-enabled architectures that connect enterprise data assets, business concepts, and relationships to support advanced analytics and AI use cases.
• Define enterprise AI readiness strategies, ensuring data platforms, business context, master data, semantic layers, and knowledge assets are structured to support generative AI, agentic AI, and machine learning solutions.
• Design modern data platforms and architectural patterns that support semantic layers, knowledgeretrieval, feature engineering, observability, and context-aware AI solutions.
• Maintain a strong understanding of AI and generative AI concepts, architectures, and enablementpatterns, and how they depend on strong data foundations.
• Stay current with industry trends in AI-ready data architectures, Microsoft Fabric, knowledge graphs, semantic technologies, data products, real-time analytics, and emerging AI enablement platforms.
• Evaluate emerging technologies and approaches, guiding informed experimentation and adoption.
• Contribute to thought leadership through whitepapers, architectural guidance, referencearchitectures, and internal and external presentations.
• Represent the organization in industry forums, customer workshops, and executive briefings.
• Serve as a trusted advisor and thought partner to senior technology and business leaders on dataand AI architecture decisions.
• Support presales and pursuit activities, including solution design, RFP responses, architectureworkshops, and executive presentations.
• Translate business strategy into actionable architectural direction and roadmaps that resonate withboth technical and non-technical stakeholders.

JOB REQUIREMENTS

• 10+ years of experience in data architecture, data engineering, or enterprise architecture, includingleadership in large-scale, complex environments.
• Deep expertise in enterprise data platforms, including cloud-based data lakes, lakehouses, warehouses, and integration architectures.
• Proven experience designing AI-ready enterprise data architectures that support analytics, machine learning, generative AI, and agentic AI use cases.
• Experience with Master Data Management (MDM), semantic modeling, business ontologies, knowledge graphs, or other approaches for creating enterprise context and reusable business definitions.
• Experience modernizing legacy data estates into cloud-based architectures across Microsoft Azure, AWS, and GCP using platforms such as Microsoft Fabric, Databricks, Snowflake, Amazon Redshift, Amazon S3, Google BigQuery, and Google Cloud Storage.
• Strong understanding of enterprise data products, semantic layers, retrieval architectures, and therole of context in AI solutions.
• Proven experience designing hybrid and multi-cloud data architectures across Azure, AWS, and GCP, including platform selection, integration, modernization, resiliency, security, and cost considerations.
• Strong background in both legacy data platforms and modern cloud-native ecosystems.
• Demonstrated success in customer-facing architecture roles, including executive-level communication.
• Exceptional communication skills, with the ability to clearly articulate complex technical concepts toexecutive and non-technical audiences.
• Experience with the following Data platforms: Microsoft Fabric (preferred), Databricks, Snowflake, Microsoft Azure data services, AWS data services such as Amazon S3, Redshift, Glue, and Kinesis, GCP data services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub, cloud data lakes, lakehouses, enterprise warehouses such as Teradata, Oracle, and SQL Server, and modern multi- cloud data ecosystems.
• Experience with the following Integration & Processing platforms: ETL/ELT, streaming, event-driven architectures, APIs, data virtualization, orchestration frameworks, and modern data integration patterns.
• Experience with the following

Enterprise Data Foundations:

Master Data Management (MDM), semantic modeling, ontology development, knowledge graphs, business context layers, metadata strategies, data quality, and trusted data products.

• AI Enablement experience with the following: AI readiness assessments, semantic and context layers, retrieval-augmented generation (RAG) architectures, knowledge retrieval patterns, AI-ready data products, feature pipelines, and support for generative, predictive, and agentic AI workloads.

OUR COMPREHENSIVE BENEFITS

• Competitive Salary
• Health, Dental and Vision Insurance
• Health Savings Accounts (HSA) with Employer Contribution
• Flexible Spending Accounts
• Long and Short-Term Disability
• Life Insurance
• Voluntary Benefits
• Employee Assistance Program
• Paid Parental Leave
• Wellness Incentives
• Vacation and Holiday Pay
• 401(k) Retirement Plan with Employer Match
• Employee Stock Purchase
• Training and Advancement opportunities
• Tuition Reimbursement
• Birthdays Off
• Philanthropic Opportunities
• Referral Program
• Partial Gym Membership Paid
• Team Building Events
• Discount Programs