Data Architect (Cloud / Snowflake AI / Cortex)
Role details
Job location
Tech stack
Job description
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., 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, Join a dynamic team as a Junior Investment Analyst, where you will play a crucial role in supporting an AI Lab focused on developing next-generation financial intelligence systems.…
- 1 hour ago
- Apply easily
Requirements
- 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, * 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
- Bachelor's in a quantitative field (Master's 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
Benefits & conditions
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$105.00 per hour, SaidGig
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Chicago, IL
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