Enterprise Data Architect & AI Solutions Leader
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Before you apply
LocationUnited States - Remote
Work moderemote
Typefull-time
SeniorityLead
Experience10+ yrs
DepartmentAI Modern Data Solutions
Company size1+ people
PostedJul 6, 2026 · 4mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
Master's degree preferred
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
Applicants must reside in the United States, be authorized to work in the U.S., and not require employer sponsorship now or in the future
Skills
Databricks
Delta Lake
Unity Catalog
Snowflake
BigQuery
Tableau
Power BI
TypeScript
Python
SQL
AWS
GCP
Azure
Kafka
Spark
LangGraph
RAG
Benefits
Health insurance
Dental insurance
Vision insurance
Paid time off
Parental leave
Remote first
About the company
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.
About the role
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
What You’ll Do:
•
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
What You’ll Bring:
•
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
What Makes You Stand Out:
•
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
Why AnswerRocket?
Join a team that’s been singularly focused on enterprise AI since before it was mainstream. Here’s what building your career with us looks like:
Benefits
•
Lead high-visibility projects that transform how global organizations operate, adding immediate impact to your portfolio
•
Work directly with senior executives at the world’s most interesting companies, building the consulting and strategic skills that accelerate your career
•
Develop hands-on expertise with the latest AI technologies, from large language models to our proprietary development frameworks
•
Learn from experienced mentors while taking ownership of complex technical and business challenges
•
Grow rapidly in a fast-paced environment where innovation and initiative are rewarded
Plus, we offer:
•
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.
We value collaboration, transparency, and inclusivity, welcoming diverse perspectives and encouraging applications even if you don’t meet every qualification. Our talented and passionate team is ready to make a difference—join us and do the best work of your life!
Legal
AnswerRocket and its affiliated entities are Equal Opportunity Employers. Applicants must reside in the United States, be authorized to work in the U.S., and not require employer sponsorship now or in the future. We do not sponsor work visas or employment-based permanent residence. Reasonable accommodations are available throughout the hiring process by contacting accommodations(at)answerrocket.com. We do not accept unsolicited resumes.