What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 7+ years of experience in DataOps Data Engineering or related field
- Deep expertise in Snowflake administration performance tuning cost optimization and security access controls
- Strong hands-on experience with Dagster or similar orchestration tools
- Experience managing Fivetran or similar ELT tools
- Proven experience implementing data quality testing and observability frameworks using Datafold or similar tools
- Good working knowledge of AWS or Azure cloud services for infrastructure
- Strong proficiency in SQL and Python for automation tooling and pipeline development
- Solid understanding of data governance metadata management and lineage tracking
- Experience with incident management alerting and on-call practices
- Experience building and operating enterprise-grade modern data platforms
- Experience with Infrastructure-as-Code using Terraform or CloudFormation
- Experience integrating and supporting BI platforms such as Sigma
Nice to have
- Highly experienced
- Operationally minded
- Automation focused
- Reliability driven
- Self-service oriented
Day to day
- Drive reliability automation and operational excellence across a modern data platform
- Build robust CI/CD pipelines for data to ship changes safely and quickly
- Ensure data quality observability and pipeline reliability at scale using modern tooling
Hiring process
- Immediate Interview