Principal Architect, Analytics AI/ML Platform Engineering
Chicago - 555 West Adams St, United States
USD 168K-281K Senior-level Full Time Found 16d ago
Tasks
- Collaborate with cross-functional teams on platform requirements
- Design and develop scalable multi-cloud data platforms
- Drive automation and DevOps practices
- Ensure platform high availability, security, performance
- Establish data governance best practices
- Evaluate and integrate emerging technologies
- Lead cloud-native data pipeline creation
- Mentor engineering teams
Perks/Benefits
- Adoption Assistance
- Commuter benefits
- Disability benefits
- Employee resource groups
- Employee stock purchase plan
- Fertility coverage
- Flexible benefits
- Health benefits
- Holidays
- Legal benefits
- Long-term care insurance
- Mental health support
- Paid time off
- Parental leave
- Retirement plan
- Tuition reimbursement
Skills/Tech-stack
API Design | AWS | AWS Kinesis | Alation | Apache Airflow | Apache Kafka | Apache Spark | Azure | Azure Event | Azure Event Hubs | Azure Synapse | BigQuery | CloudFormation | Collibra | DBT | Docker | ELK Stack | Event Hubs | GCP | Grafana | Hadoop | Informatica | Java | Kubernetes | Microservices Architecture | Prometheus | Python | Redshift | SQL | Scala | Snowflake | Terraform
Education
Language: en |
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