Snowflake Architect
Job in
Jacksonville, Duval County, Florida, 32290, USA
Listed on 2026-07-08
Listing for:
CloudHive
Full Time
position Listed on 2026-07-08
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Business Systems & Technology Analysis
Job Description & How to Apply Below
President | Snowflake Squad Member | Sales & Technical Sales Pro ❄
Snowflake Data Architect with Actuarial Insurance Experience
Location:
Remote (must be US-based)
We are seeking a Snowflake Data Architect who combines deep hands on platform expertise with strong business analysis skills. Experience working with actuarial data and insurance domains is required.
What you will do- Source analysis and documentation:
Evaluate new datasets, profiling structure, content, lineage, and relationships. Produce clear documentation for technical and business audiences. - Requirements to specifications:
Partner with stakeholders to elicit and refine data needs, then translate them into detailed technical specs and user stories for engineering teams. - Transformations in Snowflake:
Design and build scalable transformation logic for pre ingested data, leveraging Snowflake native features to deliver clean, reliable, and performant datasets. - Platform excellence:
Apply Snowflake best practices across performance, cost management, security, and governance. - Cross functional liaison:
Bridge business and engineering, communicating insights, trade offs, and status to keep all parties aligned. - Enablement and mentoring:
Coach junior colleagues on Snowflake usage patterns, modeling standards, and analytical methods.
- Domain background:
Hands on experience with actuarial data and insurance use cases, such as pricing, reserving, risk, or policy analytics. - Snowflake depth:
Minimum three years delivering Snowflake based projects, with a strong command of its architecture, features, and data modeling approaches. - Advanced SQL:
Expert level SQL, including complex query patterns, stored procedures, tasks, dynamic tables, materialized views, and performance tuning. - Business analysis:
Proven track record gathering requirements, producing functional specifications, and collaborating with business partners. - Scripting:
Proficiency in Python for automation, orchestration, or data manipulation.
- Mid-Senior level
- Contract
- Consulting and Information Technology
- Insurance
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