Lead Data Architect - AI Drive Modeling and Governance

Job Description:
Our client is seeking a highly skilled and experienced Lead Data Architect to join their team. This pivotal role will focus on AI-driven modeling and governance within the enterprise data structures. The successful candidate will be responsible for architecting and optimizing the data lake-house, ensuring seamless integration and functionality for advanced AI workloads, and self-service analytics. This full-time position offers a unique opportunity to lead and innovate in a cutting-edge technological environment, leveraging AI to enhance data governance and architecture.

Responsibilities:

• Translate complex business-driven use cases into technical specifications and designs that meet the needs of end-users.
• Design and evolve data architectures from bronze to gold layers in our medallion framework, focusing on developing robust semantic models for business analytics.
• Implement and manage slowly changing dimensions and hierarchical structures associated with key performance indicators across various business domains.
• Maintain and enhance a centralized data dictionary, ensuring all metadata, lineage, and quality rules are up-to-date and accessible.
• Deploy and manage AI-driven governance tools such as Microsoft Purview to automate metadata management, data classification, and governance compliance.
• Chair and lead data model review boards, collaborating with BI and AI teams to ensure alignment on data models and governance standards.
• Develop and enforce data contracts, governance policies, and stewardship practices to uphold data integrity and security across the organization.
• Design and implement AI-enhanced business intelligence solutions, optimizing data models for natural language processing and AI queries.

Qualifications:

• Bachelor s or master s degree in Computer Science, Data Engineering, AI, or a related technical field.
• Minimum of 8 years of experience in data architecture, with at least 5 years focused on star schema design on cloud platforms.
• Strong proficiency with Microsoft Data Platform tools, including Azure Synapse, Power BI, and Microsoft Fabric.
• Demonstrated ability to build and manage data integration and processing pipelines, preferably with experience in GraphQL and API integrations.
• Experience with AI/ML model operationalization, including familiarity with architectures like Retrieval-Augmented Generation (RAG).
• Expertise in implementing enterprise-level data governance and security frameworks, with a strong understanding of automated governance tools.
• Excellent leadership, mentorship, and team collaboration skills.
• Strong communication and documentation abilities, capable of effectively articulating complex data concepts to a diverse stakeholder audience.
• Experience with SCRUM Agile methodologies and Azure DevOps practices is highly desirable.
• Certifications in Microsoft Azure, Data Engineering, or Solutions Architecture are preferred.

GDH provides equal employment opportunities (EEO) to all employees and applicants for
employment without regard to race, color, religion, sex, national origin, age, disability, genetic
information, veteran's status or any other category protected by law. In addition to federal law
requirements, GDH Consulting, Inc. complies with applicable state and local laws governing
nondiscrimination in employment in every location in which the company has facilities and/or
employees. This policy applies to all terms and conditions of employment, including recruiting,
hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence,
compensation, benefits and training. Applicants with disabilities that require an accommodation
or assistance in applying and/or for interviewing, please contact our HR Department.

Please visit GDH's website for notice of collection for California applicants.