Enterprise Data Architect – AI Solutions Leader

🕒 August 4

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of AnswerRocket

AnswerRocket

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

AnswerRocket is a company that provides an advanced analytics platform leveraging generative AI and machine learning to enhance business intelligence. By integrating with multiple large language models, such as OpenAI, Anthropic, and Gemini, AnswerRocket's platform offers tools for descriptive, diagnostic, predictive, and prescriptive analyses. Their AI Assistant, 'Max,' helps businesses by delivering actionable insights from both structured and unstructured data, automating routine analyses, and democratizing data science. The platform aims to increase analytics productivity, provide quick insights into business performance, and customize AI analytics to fit unique business needs.

📋 Description

• Lead data strategy initiatives, including current-state assessments, enterprise architecture design, and governance frameworks • Design and implement cloud-native data lakehouse platforms using Databricks, Snowflake, and BigQuery with medallion architectures • Build real-time and batch data pipelines using 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 Tableau and 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 pipelines with performance optimization • Establish data governance standards, quality monitoring, and observability engineering practices

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent industry experience • 10+ years of experience in data architecture and engineering • 5+ years of experience in enterprise-scale systems • 3+ years of experience with 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 across AWS, GCP, or Azure • Experience building RAG pipelines, vector databases, LLM operations, and multi-model AI systems • Proven ability to lead technical teams and influence enterprise stakeholders • Ability to architect solutions and write production code • Excellent communication skills and ability to present to C-level executives and translate business requirements • Proven consulting experience with enterprise clients and strong business acumen • Applicants must reside in the United States • Must be authorized to work in the U.S. • Must not require employer sponsorship now or in the future

🏖️ Benefits

• Competitive salary with opportunities for growth and recognition • Health, dental, and vision insurance • Paid Time Off • Parental leave • Flexible remote-first work environment • Additional opportunities for in-person meetups • Professional growth and skills development • Mentorship • High-visibility projects and career-building opportunities

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