Lead Data Architect AI Driven Modeling & Governance
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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 enterprise data structures. The successful candidate will be responsible for architecting and optimizing the data lake-house, ensuring seamless integration and functionality for AI workloads and self-service analytics. This full-time position offers a unique opportunity to lead and innovate in a cutting-edge environment, leveraging AI to enhance data governance and architecture.
Responsibilities
- Translate complex business use cases into technical specifications and designs that meet end-user needs.
- Design and evolve data architectures from bronze to gold layers in the medallion framework, focusing on semantic models for analytics.
- Implement and manage slowly changing dimensions and hierarchical structures across business domains.
- Maintain and enhance a centralized data dictionary with metadata, lineage, and quality rules.
- Deploy and manage AI-driven governance tools like Microsoft Purview for metadata management, data classification, and compliance.
- Lead data model review boards, collaborating with BI and AI teams to ensure data model and governance alignment.
- Develop and enforce data contracts, governance policies, and stewardship practices to uphold data integrity and security.
- Design and implement AI-enhanced BI solutions, optimizing data models for NLP and AI queries.
Qualifications
- Bachelors or masters degree in Computer Science, Data Engineering, AI, or related field.
- At least 8 years of experience in data architecture, with 5+ years in star schema design on cloud platforms.
- Proficiency with Microsoft Data Platform tools, including Azure Synapse, Power BI, and Microsoft Fabric.
- Experience building data pipelines, with familiarity in GraphQL and API integrations.
- Experience operationalizing AI/ML models, including architectures like RAG.
- Expertise in enterprise data governance and security frameworks, with knowledge of automated governance tools.
- Strong leadership, mentorship, and collaboration skills.
- Excellent communication and documentation skills for complex data concepts.
- Experience with SCRUM and Azure DevOps is desirable.
- Certifications in Microsoft Azure, Data Engineering, or Solutions Architecture are preferred.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- IT Services and IT Consulting
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