Title: Agentic AI-Enabled Snowflake Data Engineer
Location Address: Nashville TN (Hybrid)
Type: Contract
Job Duties:
Agentic AI Enabled Snowflake Data Engineering Lead
Expanded Responsibilities of the Proposed Role
A. Core Snowflake Data Engineering (Primary) -Design and optimize Snowflake-native data pipelines and models -Implement governed data layers supporting multiple Client business domains -Enable high-quality AI-ready datasets across investment portfolio entities
B. Agentic AI Enablement (Strategic Extension) -Prepare Snowflake architecture for future agent frameworks (e.g. orchestration-ready semantic layers) -Integrate structured and unstructured data to support autonomous AI agents Evaluate use cases such as: -Supply chain optimization agents -Investment intelligence copilots -Portfolio company analytics assistants
C. AI/ML Collaboration Bridge Act as the technical bridge between: -Data engineering teams -Data science / AI teams Business domain stakeholders across Client Entities Ensure Snowflake data models are directly consumable by AI/agent pipelines
This Snowflake-focused data engineering resource is okay to have complementary AI/ML exposure: -Strong expertise in Snowflake (primary skill requirement). -Familiarity with AI/ML concepts; direct agentic AI experience is not mandatory given how new Snowflakes agent capabilities are.
Desired profile summarized: -Desired profile summarized: Snowflake experience (6-8 years) exposure to AI/ML (1-2 yrs) knowledge of agentic AI concepts (1 year). Client is prioritizing: -Robust data engineering foundations -Ability to support future AI/agentic use cases rather than needing deep hands-on agent development immediately Preferred onsite/near-site locations: 1) Nashville (top preference) 2) New York (secondary option) **Flexibility exists but local proximity is strongly favored for collaboration.
Minimum Skills Required:
- 8 years Strong expertise in data engineer with 6 years of experience with Snowflake (primary skill requirement
- 1-2 years Familiarity with AI/ML concepts nice to have; direct agentic AI experience is not mandatory given how new Snowflakes agent capabilities are.
Title: Agentic AI-Enabled Snowflake Data Engineer Location Address: Nashville TN (Hybrid) Type: Contract Job Duties: Agentic AI Enabled Snowflake Data Engineering Lead Expanded Responsibilities of the Proposed Role A. Core Snowflake Data Engineering (Primary) -Design and optimize Snowflake-native ...
Title: Agentic AI-Enabled Snowflake Data Engineer
Location Address: Nashville TN (Hybrid)
Type: Contract
Job Duties:
Agentic AI Enabled Snowflake Data Engineering Lead
Expanded Responsibilities of the Proposed Role
A. Core Snowflake Data Engineering (Primary) -Design and optimize Snowflake-native data pipelines and models -Implement governed data layers supporting multiple Client business domains -Enable high-quality AI-ready datasets across investment portfolio entities
B. Agentic AI Enablement (Strategic Extension) -Prepare Snowflake architecture for future agent frameworks (e.g. orchestration-ready semantic layers) -Integrate structured and unstructured data to support autonomous AI agents Evaluate use cases such as: -Supply chain optimization agents -Investment intelligence copilots -Portfolio company analytics assistants
C. AI/ML Collaboration Bridge Act as the technical bridge between: -Data engineering teams -Data science / AI teams Business domain stakeholders across Client Entities Ensure Snowflake data models are directly consumable by AI/agent pipelines
This Snowflake-focused data engineering resource is okay to have complementary AI/ML exposure: -Strong expertise in Snowflake (primary skill requirement). -Familiarity with AI/ML concepts; direct agentic AI experience is not mandatory given how new Snowflakes agent capabilities are.
Desired profile summarized: -Desired profile summarized: Snowflake experience (6-8 years) exposure to AI/ML (1-2 yrs) knowledge of agentic AI concepts (1 year). Client is prioritizing: -Robust data engineering foundations -Ability to support future AI/agentic use cases rather than needing deep hands-on agent development immediately Preferred onsite/near-site locations: 1) Nashville (top preference) 2) New York (secondary option) **Flexibility exists but local proximity is strongly favored for collaboration.
Minimum Skills Required:
- 8 years Strong expertise in data engineer with 6 years of experience with Snowflake (primary skill requirement
- 1-2 years Familiarity with AI/ML concepts nice to have; direct agentic AI experience is not mandatory given how new Snowflakes agent capabilities are.
View more
View less