Enterprise Data Architect
United States - Remote
- Remote-first
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AnswerRocket
AnswerRocket is a genAI analytics platform to help business users get insights from their enterprise data. Get to know Max, our AI assistant for analytics.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 retail to healthcare and financial services—harness AI to achieve tangible business outcomes.
We’re seeking an experienced Enterprise Data Architect 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 our AI-driven solutions. Working at the intersection of enterprise data systems and AI technologies, you’ll help clients unlock the full potential of their data assets.
This is a fully remote role, supported by an Atlanta-based team, and requires occasional travel to client sites based on project needs.
What You’ll Do:
- Design and implement enterprise-scale data architectures that support AI solutions, ensuring scalability, performance, and security.
- Develop data models, taxonomies, and metadata frameworks aligned with business and technical objectives.
- Lead client discovery sessions to assess data landscapes, integration points, and transformation needs.
- Define data flows, entity-relationship models, and architecture documentation to guide implementation teams.
- Ensure seamless integration with AI/ML models by designing well-structured data architectures.
- Establish and enforce data governance standards, ensuring data quality, security, and regulatory compliance.
- Evaluate and recommend emerging data technologies to enhance platform capabilities.
- Advise internal and client teams on complex data architecture challenges.
- Mentor junior data professionals and contribute to the growth of our data practice.
What You’ll Bring:
- Bachelor's degree in Computer Science, Information Systems, or a related field (Master’s preferred); or equivalent industry experience.
- 7+ years of experience in data architecture, data engineering, or related roles, with at least 3 years focused on enterprise-scale systems.
- Strong knowledge of data modeling techniques (dimensional, relational, NoSQL) and data warehousing concepts.
- Expertise in designing data architectures for AI/ML applications.
- Proficiency with modern data technologies including cloud data platforms (AWS, Azure, GCP), data warehousing solutions, and ETL/ELT tools.
- Strong leadership skills, with the ability to influence stakeholders, mentor teams, and drive enterprise-wide data strategies.
- Hands-on problem solver with a "get it done" mindset—ready to tackle challenges and drive results.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.
- Proven ability to work in a consulting environment with enterprise clients, leveraging a strong sales mindset and consultative approach to identify needs, drive value, and build lasting partnerships.
What Makes You Stand Out:
- Experience designing data architectures for Natural Language Processing (NLP) or Large Language Model (LLM) applications.
- Certifications in AWS, Azure, GCP, TOGAF, CDMP, or other relevant methodologies.
- Expertise in real-time or streaming data architectures (Kafka, Spark, etc.).
- Familiarity with Kimball Group’s best practices for data modeling and warehousing.
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:
- 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 and Ownership: 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!
Posting Statement: Please note we do not accept unsolicited resumes. If offered employment, you must have the legal right to work in the U.S. AnswerRocket is an Equal Opportunity Employer. All qualified applicants will be considered for employment following applicable law. We are committed to accommodations for individuals with disabilities throughout the hiring process. Please contact hiring(at)answerrocket.com if you need assistance before applying.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Consulting Data governance Data quality Data Warehousing ELT Engineering ETL GCP Kafka LLMs Machine Learning ML models NLP NoSQL Security Spark Streaming TOGAF
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Parental leave Startup environment Transparency
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