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# Senior Snowflake Data Engineer

- **Company:** Morningstar, Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $114,100.0 - $193,975.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Program Optimization, Data Architecture, Data Validation, Data Governance, Extract Transform Load (ETL), Data Warehousing, Performance Tuning, Query Optimization, Cloud Services, Salesforce.Com, Data Streaming, Data Storage Management, Sql Optimization, Snowflake, Eloqua, Usage Tracking, Semi-structured Data, Data Lineage, Real Time Data, Apache Kafka, Data Pipelines
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=18891b949c49ef4c

## About the Role

* 5+ years of experience in Data Architecture
 * Proven experience designing Snowflake data architecture at scale
 * Advanced SQL and query optimization expertise
 * Strong knowledge of data warehousing concepts and modeling techniques
 * Experience with cloud platforms (AWS, Azure, or GCP)
 * Experience building enterprise-grade ETL/ELT pipelines

Preferred Qualifications

 * Snowflake certification(s)
 * Experience ingesting and cleaning Marketing, Salesforce, & Eloqua datasets
 * Experience designing data governance frameworks and compliance standards
 * Experience implementing multi-environment (dev/test/prod) Snowflake setups
 * Experience with data streaming technologies (Kafka, Kinesis, etc.)
 * Experience with cost optimization for large-scale cloud data platforms

## Description

We are seeking a highly experienced Snowflake Engineer with deep expertise in Snowflake system optimization, enterprise data architecture, and scalable pipeline development.

This role will be responsible for governing the Snowflake data architecture, fine-tuning system performance, and building scalable data pipelines that power analytics and business intelligence across the Marketing and Sales Organizations.

The ideal candidate combines hands-on engineering expertise with architectural vision and performance optimization experience in Snowflake environments., * A scalable, well-governed Snowflake architecture

 * Optimized compute cost and improved query performance
 * Reliable, observable data pipelines
 * Clean, standardized, and business-aligned data models
 * Strong cross-functional collaboration
 * Creation of detailed & practical documentation for data-consumers

Responsibilities

 * Design and implement enterprise-grade Snowflake architecture
 * Define data modeling standards and Snowflake best practices
 * Design scalable ingestion frameworks for structured and semi-structured data
 * Architect solutions for performance, scalability, cost optimization, and governance
 * Establish data lifecycle management, retention, and archival strategies
 * Partner with analytics, BI, and data science teams to translate business requirements into scalable data solutions
 * Maintain clear documentation for data lineage and architecture
 * Optimize warehouse sizing and workload management strategies
 * Analyze query plans and improve performance using clustering, pruning, and micro-partition strategies
 * Improve cost efficiency through compute optimization and storage management
 * Implement monitoring frameworks for performance and usage tracking
 * Tune ingestion processes
 * Design, build, and maintain scalable ETL/ELT pipelines
 * Develop orchestration workflows using Airflow, dbt, or similar tools
 * Support batch and near real-time data ingestion
 * Implement data quality checks, validation rules, and observability
 * Troubleshoot and resolve performance bottlenecks across pipelines


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