Job Summary
We are looking for a Principal Data Engineer to architect enterprise-scale data platforms supporting AI, Machine Learning, analytics, and real-time data processing. The ideal candidate should possess deep expertise in distributed systems, modern data architecture, and cloud-native engineering.
Key Responsibilities
- Architect enterprise data platforms.
- Design Data Lakehouse architecture.
- Build real-time streaming solutions.
- Develop enterprise data APIs.
- Design Data Mesh architecture.
- Implement enterprise metadata management.
- Build scalable cloud-native data services.
- Optimize large-scale data processing.
- Mentor engineering teams.
- Define enterprise data engineering standards.
Required Skills
- Python
- SQL
- Databricks
- Spark
- Kafka
- Snowflake
- dbt
- Apache Iceberg
- Delta Lake
- Airflow
- Kubernetes
- Docker
- Terraform
- Data Mesh
- Data Lakehouse
Preferred Skills
- Microsoft Fabric
- AWS
- Azure
- Google Cloud Platform
- Unity Catalog
- AI Data Pipelines
Mandatory Skills
- Databricks
- Spark
- Kafka
- Snowflake
- Data Lakehouse
- Apache Iceberg
- dbt
- Airflow
- Python
- SQL
- Kubernetes
- Data Mesh
Rate:
Not specified
Location:
Minneapolis
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Not Specified