Senior AI Architect, Semantic Layer & Algorithm Ar

Dynata, LLC (Connecticut); Town of Texas (WI); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Dynata is seeking a senior data/architecture leader to define and evolve the semantic layer, medallion architecture, and enterprise data models. You will translate governance standards into scalable technical frameworks and enforceable architectures while setting standards for schema design and metadata management across the platform.

You will design data contract frameworks, govern lineage and quality controls, and ensure AI and analytics use cases are supported by a unified platform

Qualifications

• 7+ years of experience in data architecture, platform architecture, or AI/ML infrastructure.
• Proven experience designing enterprise-scale semantic layers and data contracts.
• Strong understanding of lakehouse architectures, metadata management, and governance.

Responsibilities

• Define and evolve semantic layer, medallion architecture, and enterprise data models.
• Translate governance standards into scalable technical frameworks and enforceable architectures.
• Establish standards for schema design, metadata management, interoperability, and semantic consistency.
• Ensure analytical, operational, and AI use cases are supported by a common architectural foundation.
• Design and govern data contract frameworks enabling reliable, reusable data assets.
• Lead architecture discussions balancing business needs, governance, and scalability.
• Define patterns for feature stores, model inputs/outputs, and model lifecycle management.
• Partner with Product, Technology, Research & Data Science, and Data Platform teams.

Skills

Data architecture

Platform architecture

AI/ML infrastructure

Data governance

Lakehouse patterns

Semantic layer design

Stakeholder management

Enterprise data modeling

Tools

Databricks

Snowflake

DataHub

Metadata platforms

Feature stores

Job description

Key Responsibilities

Semantic Layer & Data Architecture: Define and evolve the technical architecture forDynata'ssemantic layer, medallion architecture, and enterprise data models.

Translate business concepts, governance standards, and domain definitions into scalable technical frameworks and enforceable architectures.

Establish standards for schema design, metadata management, interoperability, and semantic consistency across the platform.

Ensure analytical, operational, and AI use cases are supported by a common architectural foundation.

Data Contracts & Governance Standards: Design and govern data contract frameworks that enable reliable, reusable, and trusted data assets across the organization.

Establish standards for schema validation, versioning, lineage, quality controls, and controlled evolution of enterprise datasets.

Partner with governance stakeholders to operationalize policies through technical controls and platform capabilities.

Promote consistency, traceability, and discoverability across enterprise data assets.

AI & Algorithm Platform Architecture: Define architectural patterns for feature stores, model inputs and outputs, model lifecycle management, and algorithm interoperability.

Establish standards for how analytical models, machine learning solutions, and AI services integrate with enterprise data assets.

Design scalable frameworks for feature reuse, model governance, and algorithm deployment.

Ensure AI and machine learning capabilities are built upon secure, governed, and reusable platform foundations.

Cross-Functional Collaboration: Partner closely with Product, Technology, Research & Data Science, and Data Platform teams.

Translate complex technical concepts into clear architectural decisions and implementation guidance.

Lead architecture discussions that balance business needs, governance requirements, technical feasibility, and long-term scalability.

Serve as a technical thought leader on semantic architecture, data governance, AI enablement, and enterprise platform design.

Qualifications

• 7+ years of experience in data architecture, platform architecture, AI/ML infrastructure, data engineering, or related fields.
• Proven experience designing enterprise-scale semantic layers, data models, schema governance frameworks, or data contract architectures.
• Strong understanding of modernlakehousearchitectures, medallion design patterns, metadata management, and data governance principles.
• Demonstrated experience architecting machine learning and AI platforms, including feature stores, model lifecycle management, lineage, and governance capabilities.
• Experienceestablishingtechnical standards that support analytics, machine learning, and AI-driven applications at scale.
• Strong understanding of schema management, metadata frameworks, versioning strategies, and interoperability patterns.
• Experience translating ambiguous business requirements and governance concepts into scalable technical architectures.
• Strong communicationand stakeholder management skills, including experience influencing technical leaders, architects, and executive stakeholders.
• Demonstrated successoperatingeffectively in ambiguous environments and leading foundational platform and architecture initiatives.
• Experience with modern data and AI platforms such as Databricks,DataHub, Snowflake, feature stores, metadata platforms, or comparable technologies.

Preferred Qualifications

• Experience implementing or governing enterprise semantic layers and business glossaries.
• Familiarity with AI governance, model governance, and responsible AI frameworks.
• Experience designing architecture for graph analytics, forecasting, optimization, or decision-support systems.
• Exposure to LLM-enabled platform capabilities such as metadata generation, semantic modeling, catalog enrichment, or governance automation.

The base salary range for this position in is $120K-$150K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience.

A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.

At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.

Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.

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Who we are

At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making. At Dynata, your work directly influences how the world’s leading organizations understand people, markets, and behavior.

About our culture

Our culture is rooted in inspiration, collaboration, and a drive for excellence. At Dynata, a career is more than just a job—it’s a place where your work matters, your voice is heard, and your growth is supported every step of the way. Whether you’re passionate about innovation, driven to make a difference, or excited to join a collaborative team that puts integrity and impact at the center of everything we do, you’ll find your next chapter here. We provide A collaborative, inclusive culture that values expertise, curiosity, and ownership. The chance to make a measurable impact on how insights are created and trusted. Competitive compensation, benefits, and opportunities for growth.

We recently won the 2026 Association for Talent Development BEST award, we are honored to be recipients of the 2026 Association for Talent Development (ATD) BEST Award, one of the industry’s most prestigious recognitions for excellence in talent development. Receiving this distinction validates our intentional investment in fostering a supportive and empowering environment for our team members. At Dynata, we don’t just talk about development—we put it into action.

Every April, our global Power Your Career conference brings together employees from around the world to connect, learn, and grow. Our experiential High-Potential Program provides rising leaders with immersive, hands-on opportunities for professional development, ensuring our next generation of talent is ready to make a difference. Additionally, our Leadership Challenges equip managers and future leaders with the skills and insights necessary to drive quality and excellence throughout the organization.