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. Location: Chicago, IL (Hybrid policy- 4 days onsite)
- 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
- 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
- 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
- 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
Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
Financial Health
Physical Health
Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-termdisabilityinsurance
Emotional Health
Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & FormalMentorshipOpportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement
Social Health
Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups
Total Cash Compensation Range $114,100.00 - 193,975.00 USD Annual
Inclusive of annual base salary and target incentive Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
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