Job Description
9+ years of experience in Data Engineering, Data Platform, SRE, or Reliability roles Strong experience applying SRE principles to data systems Hands-on experience with enterprise data platforms such as: Snowflake, BigQuery, Redshift, Synapse Data lakes (ADLS, S3, GCS) Expertise with data orchestration and ETL tools: Airflow, ADF, dbt, Informatica, or similar Strong SQL and deep data debugging skills Experience with monitoring and observability tools: Prometheus, Grafana, Datadog, CloudWatch, Azure Monitor Strong scripting skills (Python, Shell) Deep knowledge of Linux/Unix systems Strong analytical, troubleshooting, and leadership skills Excellent communication and stakeholder management abilities
Data Platform Reliability & Stability Own end-to-end reliability, availability, and performance of enterprise data platforms Define and track SLAs, SLOs, and SLIs for data pipelines and platforms Proactively reduce data downtime, failures, and data quality incidents Design systems for fault tolerance, scalability, and resilience
