Data Architect (Cloud Snowflake AI Cortex)
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Data Architect with deep expertise in Snowflake (6 years) Snowflake Cortex (AI/LLM) and AWS cloud architecture. This is a high-visibility ground-floor role driving enterprise data strategy with a strong emphasis on AI-powered data platforms governance and scalable architecture.
You will lead the end-to-end enterprise data architecture enabling secure AI data access intelligent pipelines and advanced analytics across ecosystem.
Key Responsibilities
Architect and lead enterprise-scale data platforms leveraging Snowflake AWS
Enable secure AI data pipelines and LLM-driven capabilities using Snowflake Cortex
Define data architecture strategy including data flows modeling governance and consumption
Integrate AI solutions across Snowflake Databricks and enterprise data platforms
Drive data governance masking security and compliance frameworks
Design end-to-end pipelines including ingestion transformation and consumption layers
Partner with stakeholders to define data standards architecture principles and roadmaps
Lead data modeling data lake/warehouse architecture and self-service analytics frameworks
Provide architectural oversight across critical enterprise programs
Perform cost/benefit analysis and intake prioritization across initiatives
Build executive-level reporting and insights platforms
Ensure alignment with target state architecture and data strategy
Architect and lead enterprise-scale data platforms leveraging Snowflake AWS
Enable secure AI data pipelines and LLM-driven capabilities using Snowflake Cortex
Define data architecture strategy including data flows modeling governance and consumption
Integrate AI solutions across Snowflake Databricks and enterprise data platforms
Drive data governance masking security and compliance frameworks
Design end-to-end pipelines including ingestion transformation and consumption layers
Partner with stakeholders to define data standards architecture principles and roadmaps
Lead data modeling data lake/warehouse architecture and self-service analytics frameworks
Provide architectural oversight across critical enterprise programs
Perform cost/benefit analysis and intake prioritization across initiatives
Build executive-level reporting and insights platforms
Ensure alignment with target state architecture and data strategy
Required Skills (NON-NEGOTIABLE)
- 6 years of Snowflake experience (MUST HAVE deep expertise)
- Proven experience with Snowflake Cortex (AI/LLM integration strongly preferred)
- Strong AWS cloud architecture experience
- Expertise in enterprise data architecture & distributed systems
- Hands-on experience with data pipelines ETL/ELT and data modeling
- Strong knowledge of data governance security and access controls
- Experience integrating AI/ML solutions into data platforms
Technical Stack
- Snowflake Snowflake Cortex (AI/LLM)
- AWS (S3 Redshift RDS Aurora etc.)
- Databricks (nice to have)
- SQL Python
- BI Tools: Tableau Power BI Looker ThoughtSpot
- Big Data: Spark Kafka Hadoop ecosystem
- Databases: PostgreSQL MongoDB Cassandra Oracle MySQL Teradata
Qualifications
- 6 years in Data Engineering / Data Architecture
- 4 years designing enterprise-scale data architectures
- Strong experience in cloud-native data platforms
- Ability to operate in ambiguous fast-paced environments
- Proven track record delivering scalable high-impact data solutions
- Bachelors in a quantitative field (Masters preferred)
Key Traits
- Elite problem solver with strong stakeholder engagement skills
- Highly collaborative business-minded technologist
- Passion for AI-driven data innovation
- Embodies values: respect integrity humility empathy creativity and fun
