Sr. Data Reliability Engineer

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

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

We are seeking an experienced Senior Data Reliability Engineer (DRE) with 9+ years of expertise in ensuring the reliability, availability, scalability, and quality of enterprise data platforms. This role applies Site Reliability Engineering (SRE) principles to data systems and plays a critical leadership role in building resilient, observable, and highly available data pipelines supporting analytics, BI, and data science workloads.