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
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
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...
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
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