Senior Enterprise Architect – Data & AI

Role: Senior Enterprise Architect – Data & AI
Location: Raleigh, NC – 100% Onsite
Experience: 12+ Years
Employment Type: Contract / Full-Time
Job Summary
We are seeking a highly experienced Senior Enterprise Architect – Data & AI to define and lead enterprise-level architecture strategies across data, analytics, machine learning, and artificial intelligence initiatives.
The ideal candidate will have strong experience in Data Architecture, ETL/ELT, Databricks, Data Engineering, Machine Learning, and AI, along with the ability to work closely with business and technology stakeholders to design scalable and secure enterprise solutions.
Key Responsibilities
Define and implement enterprise data and AI architecture strategies.
Design scalable Data Lakehouse and Databricks architectures.
Lead data modernization, ETL/ELT, and data integration initiatives.
Develop architecture solutions for Machine Learning, AI, Generative AI, and LLM-based applications.
Define data models, data governance, security, integration, and architecture standards.
Evaluate existing technology platforms and recommend modernization opportunities.
Collaborate with engineering, data science, product, and business teams.
Provide technical leadership and architectural guidance to development teams.
Ensure solutions meet scalability, performance, security, and reliability requirements.
Create architecture diagrams, technical documentation, and solution roadmaps.
Required Skills & Experience
12+ years of experience in technology, data, or enterprise architecture.
Strong experience as an Enterprise Architect / Data Architect.
Strong hands-on knowledge of Databricks and Lakehouse architecture.
Extensive experience with ETL/ELT and Data Engineering.
Strong knowledge of SQL, Apache Spark/PySpark, and data modeling.
Experience designing Machine Learning and AI solutions.
Knowledge of Generative AI, LLMs, RAG, and AI application architecture.
Experience with cloud platforms such as Azure, AWS, or GCP.
Strong understanding of data governance, security, integration, and enterprise architecture principles.
Excellent communication and stakeholder management skills.
Preferred Skills
Databricks certifications.
Experience with MLOps and AI/ML platforms.
Experience with cloud-native data platforms.
Knowledge of API architecture and microservices.
Experience with enterprise data governance and data security.