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# Data & Analytics Solutions Architect (AWS + Snowflake + Cortex)

- **Company:** Envision, Inc
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Apache HTTP Server, ARM Architecture, Audit Trail, Cloud Computing, Information Systems, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Security, Identity and Access Management, Python (Programming Language), Meta-Data Management, Performance Tuning, Role-Based Access Control, Migration Manager, DataOps, SQL Databases, Enterprise Data Management, Snowflake, Data Layers, Pyspark, Information Technology, Data Analytics, AWS Data Analytics, Data Management, Cloud Migration, Model Registry, Serverless Computing
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/4fe79f9b-28e0-4941-8d2d-02d40351aefb/data-analytics-solutions-architect-aws-snowflake-cortex

## About the Role

* 14+ years of experience in Enterprise Data Architecture, AWS Data Platforms, Snowflake, Data Engineering, and Cloud Modernization.

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 * Proven experience in Enterprise Solution architecture using AWS, Snowflake, Cortex and related technology components across the Data to Insights end to end value chain.

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 * Strong hands-on expertise in AWS Data Services, Snowflake, Snowflake Cortex, Snowflake Horizon Catalog, Apache Iceberg / Snowflake Open Catalog, Python, PySpark, and SQL.

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 * Proven experience designing and implementing Lakehouse Architectures, enterprise data platforms, and modern analytics solutions on AWS.

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 * Strong understanding of the Snowflake Data Cloud, including Snowflake SQL, Workflows, Snowpipe, Snowflake Model Registry, Snowflake Horizon Catalog, Serverless Compute, and Performance Optimization.

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 * Experience building AI-enabled analytics solutions using Snowflake Cortex, semantic models, natural language analytics, and governed data access frameworks.

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 * Expertise in Data Engineering including ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps practices.

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 * Strong knowledge of Enterprise Data Architecture, including data models, data products, lakehouse and warehouse patterns, semantic layers, and master/reference data management.

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 * Experience implementing Security, Governance, and Compliance controls including IAM/RBAC, encryption, privacy, masking, auditability, retention, and responsible AI practices.

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 * Proven experience leading architecture definition, HLD/LLD preparation, NFR assessment, migration planning, technical governance, and production readiness activities.

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 * Experience supporting cloud transformation initiatives, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.

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 * Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.

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 * Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.