Enterprise Data Architect & AI Solutions Leader

Role Description

We're seeking an experienced Enterprise Data Architect Solutions Leader to join our growing team of AI and data professionals. In this pivotal role, you'll design and implement scalable, high-performance data architectures that power cutting-edge AI solutions while leading technical teams and driving enterprise transformation. Working at the intersection of enterprise data systems and generative AI technologies, you'll help us unlock the full potential of our data assets through modern lakehouse platforms and intelligent automation.

• Lead data strategy initiatives including current state assessments, enterprise architecture design, and governance frameworks
• Design and implement cloud-native data lakehouse platforms (Databricks, Snowflake, BigQuery) with medallion architectures
• 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
• Create advanced analytics and BI solutions with modern self-service platforms (Tableau, Power BI)
• Lead technical teams, mentor data professionals, and drive innovation lab initiatives
• Conduct client discovery sessions and translate complex technical concepts for executive audiences
• Implement MLOps, feature stores, and AI/ML pipeline development with performance optimization
• Establish data governance standards, quality monitoring, and observability engineering practices

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related field (Master's preferred); or equivalent industry experience
• 10+ years of experience in data architecture and engineering, with 5+ years in enterprise-scale systems and 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

Requirements

• 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) or 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

Benefits

• Leadership: Play a key role in shaping the future of a company at the forefront of AI innovation, contributing to groundbreaking products, transformative solutions, and industry success stories.
• Competitive Pay: Earn a competitive salary with opportunities for growth and recognition.
• Comprehensive Benefits: Access health, dental, and vision insurance, Paid Time Off and parental leave, offering flexibility to support your well-being.
• Remote-First Culture: Thrive in a flexible environment with additional opportunities for in-person meetups to foster connection and collaboration.
• Professional Growth: Build your skills and creativity while working on innovative projects that redefine what’s possible with AI.