Senior Snowflake Data Engineer

Morningstar, Inc.
Chicago, IL, United States
3 months ago
Apply on indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$114,100.0 - $193,975.0
Working hours
Regular working hours
Job source

Tech stack

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
+14 more
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

Job 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

Requirements

  • 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

Benefits & conditions

Tuition reimbursement, Paid parental leave, Parental leave, Health insurance, 401(k) matching, Vision insurance, Health savings account, Dental insurance, 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
  • 100% 401k match up to 6% of salary
  • Stock Ownership Potential
  • Company provided life insurance - 1x salary + commission
  • 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 plans and coverages
  • Additional medical Wellness Incentives - up to $300-$600 annual
  • Company-provided long- and short-term disability insurance
  • 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 & Formal Mentorship Opportunities
  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all