Enterprise Data Architect & AI Solutions Leader

AnswerRocket

$120K — $160K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s in Computer Science or related field (Master’s preferred); equivalent experience considered
  • 10+ years in data architecture and engineering; 5+ years in enterprise systems; 3+ years in AI/ML
  • Hands-on expertise with Databricks, Delta Lake, and lakehouse architectures
  • Proficient in TypeScript, Python, SQL; cloud serverless architectures (AWS, GCP, Azure)
  • Experience with RAG pipelines, vector databases, and multi-model AI systems
  • Strong leadership skills able to influence enterprise stakeholders
  • Excellent communication skills for C-level presentations

Responsibilities

  • Lead data strategy initiatives and enterprise architecture design
  • Design cloud-native data lakehouse platforms using medallion architectures
  • Build modern data pipelines with ETL/ELT and orchestration technologies
  • Architect generative AI solutions including RAG pipelines and autonomous monitoring
  • Develop advanced analytics and BI solutions with self-service platforms
  • Lead technical teams and mentor data professionals
  • Conduct client discovery sessions to translate complex tech for executives
  • Implement MLOps and optimize AI/ML pipeline performance

Benefits

  • Leadership role in shaping the future of AI innovation
  • Competitive salary with growth and recognition opportunities
  • Comprehensive health, dental, and vision insurance
  • Paid Time Off, parental leave, and support for well-being
  • Remote-first culture with opportunities for in-person collaboration
  • Professional growth while working on innovative AI projects
Full Job Description
We9re seeking an experienced Enterprise Data Architect Solutions Leader to join our growing team of AI and data professionals. In this pivotal role, you9ll 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, you9ll help us unlock the full potential of our data assets through modern lakehouse platforms and intelligent automation

What You9ll 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 You9ll Bring:
  • Bachelor9s degree in Computer Science, Data Engineering, or related field (Master9s 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 4get it done4 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


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 what9s possible with AI.

We value collaboration, transparency, and inclusivity, welcoming diverse perspectives and encouraging applications even if you don9t meet every qualification. Our talented and passionate team is ready to make a difference-join us and do the best work of your life!

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