Enterprise Data Architect & AI Solutions Leader
On-siteAtlanta, Georgia, United States
Job Summary
Lead data strategy initiatives including current state assessments, enterprise architecture design, and governance frameworks. Design and implement cloud-native data lakehouse platforms with medallion architectures and build real-time and batch data pipelines using modern ETL/ELT, streaming, and orchestration technologies. Architect and develop generative AI solutions including RAG pipelines, multi-agent systems, and autonomous monitoring while establishing data governance standards and observability engineering practices. Conduct client discovery sessions and translate complex technical concepts for executive audiences. This pivotal role involves designing scalable, high-performance data architectures that power cutting-edge AI solutions while leading technical teams and driving enterprise transformation. You will work at the intersection of enterprise data systems and generative AI technologies to unlock the full potential of data assets through modern lakehouse platforms and intelligent automation.
Required Qualifications
- Bachelor's degree in Computer Science, Data Engineering, or related field
- 10+ years of experience in data architecture and engineering
- 5+ years in enterprise-scale systems
- 3+ years in AI/ML platforms
- Hands-on expertise with Databricks, Delta Lake, Unity Catalog, and modern data lakehouse architectures
- Proficiency in TypeScript, Python, SQL, and cloud serverless architectures (AWS, GCP, Azure)
- Experience building RAG pipelines, vector databases, LLM operations, and multi-model AI systems
- Strong leadership skills with proven ability to lead technical teams and influence enterprise stakeholders
- Hands-on problem solver with a 'get it done' mindset—ready to architect solutions and write production code
- Excellent communication skills with ability to present to C-level executives and translate business requirements
- Proven consulting experience with enterprise clients, demonstrating strong business acumen and partnership building
- Applicants must reside in the United States
- Applicants must be authorized to work in the U.S.
- Applicants must not require employer sponsorship now or in the future
Desired Qualifications
- Master's degree
- Production experience with frameworks like LangGraph, agentic workflows, and autonomous AI monitoring systems
- Full-stack development experience including single-page applications for data engineering solutions
- Advanced cloud certifications (AWS/Azure/GCP Professional, Databricks)
- Methodology certifications (TOGAF, CDMP)
- Experience with streaming architectures (Kafka, Spark), real-time analytics, and cost optimization (FinOps)
- Published thought leadership, conference speaking, or contributions to open-source AI/data projects
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