Enterprise Data Architect & AI Solutions Leader

AnswerRocket•Atlanta, GA

1d•Remote

About The Position

At AnswerRocket, we build transformative AI solutions that drive measurable results for Fortune 2000 Enterprises. For over a decade, we’ve helped industry leaders across sectors from consumer goods and construction to healthcare and financial services, harness AI to achieve tangible business outcomes. Our strength is the composition of our team: developers, data scientists, designers, architects, and AI/ML experts working alongside senior-level consultants. This combination allows us to solve enterprise AI challenges from strategy through implementation and optimization, and it is why some of the world’s largest companies seek us out. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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