Principal Data Engineering - Remote

Primary Responsibilities

• Lead the design and implementation of cloud based data architectures and data solutions
• Build, optimize, and maintain scalable data pipelines on GCP or Azure
• Provide hands on technical leadership in data platform and solution architecture
• Work across cloud and on prem environments to support enterprise data needs
• Collaborate with engineering and analytics teams to ensure data reliability, performance, and scalability
• Guide junior engineers through technical mentorship and solution design reviews
• Leverage enterprise approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.
• Ensure data quality, observability, lineage, and documentation (e.g., Great Expectations/DBT tests, Cloud Monitoring/Logging, Data Catalog)
• Implement security, IAM, and compliance controls; manage access, encryption, and PII handling
• Partner with Analytics/BI, Data Science, and Product teams to deliver trustworthy datasets and metrics
• Troubleshoot and resolve data pipeline incidents, drive root cause analysis and preventive improvements
• Contribute to data platform roadmaps, standards, and best practices

Required Qualifications

• 8+ years of experience in data engineering or related roles
• Demonstrated experience designing and building data pipelines in enterprise environments
• Proven solid hands on experience with cloud platforms (GCP preferred; AWS or Azure acceptable)
• Experience with on prem and cloud based data architectures
• Hands on experience with develop and optimize data models (databricks/snowflake or similar platform) and ELT/ETL workflows to support analytics and ML
• Proven solid SQL and Python development skills for data processing and pipeline development, hands-on with Cloud Storage
• Experience in Implementation of streaming and micro-batch solutions for near-real-time use cases
• Demonstrated experience in Building CI/CD workflows for data pipelines and infrastructure-as-code using Terraform
• Demonstrated solid understanding of data warehousing concepts, dimensional modeling, and ELT patterns
• Experience with batch and streaming data processing at scale

Preferred Qualifications

• Experience supporting large scale analytics or data platforms
• Demonstrated familiarity with multi cloud or hybrid architectures
• Experience working in enterprise scale environments
• Reside in Minnesota