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Specialized senior data+AI role at known enterprise reduces applicant density to medium.
Requires specialized data-platform and AI-agent skills, moderately transferable across industries.
Explicit 8+ years and specific Snowflake/DBT/LLM requirements make filtering strict.
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Design and implement scalable reference architecture for governed data delivery to dashboards, applications, and AI agents.
Architect and build AI Data Agents enabling natural-language querying of governed data and agentic workflows with orchestration and guardrails.
Serve as technical lead: set standards, mentor engineers, translate ambiguous business problems into technical requirements, and manage stakeholder relationships.
8+ years of experience in data architecture and hands-on engineering, including enterprise production systems.
Strong proficiency in Python and SQL; deep experience building on Snowflake and DBT.
Proven experience designing and building LLM/agentic solutions including RAG, function/tool calling, orchestration frameworks (e.g., LangChain).
Work Experience Required: 8+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in bridging business needs with technical solutions, comfortable managing stakeholder communications at multiple levels.
Hands-on leader with ability to drive end-to-end ownership of features and systems amid evolving requirements.
Familiarity or exposure to cloud-native architectures (AWS/Azure/GCP), vector databases, CI/CD, containerization, and distributed systems preferred but not mandatory.