Our client is seeking a DevOps Engineer to join a growing enterprise data team. This person will play a key role in ensuring the reliability, scalability, and performance of the company's data platform. Working alongside data engineering, analytics, and infrastructure teams, you'll help support business-critical data pipelines while driving improvements in automation, monitoring, and overall platform health.

ESSENTIAL DUTIES & FUNCTIONS:

Monitor, maintain, and optimize enterprise data pipelines supporting both real-time and batch processing
Troubleshoot data ingestion, transformation, and delivery issues to ensure reliable data availability
Manage and optimize Snowflake environments, including warehouses, databases, security roles, and resource utilization
Support Kafka infrastructure by monitoring clusters, topics, partitions, and consumer groups
Develop automation and scripting to improve deployment, monitoring, recovery, and operational efficiency
Partner closely with Data Engineering, Analytics, and Infrastructure teams to improve platform performance and reliability
Implement data quality checks, operational alerts, and monitoring to proactively identify issues
Contribute to CI/CD processes and support ongoing data governance, security, and compliance initiatives.

QUALIFICATIONS:

5+ years of experience in Data Operations, Data Engineering, or a related technical role
Strong experience supporting production data platforms
Hands-on experience with Snowflake, including performance tuning, security, and data management
Experience working with Kafka and streaming data technologies
Strong SQL skills and experience with Python or another scripting language
Experience working in a cloud environment (AWS preferred)
Familiarity with orchestration tools such as Airflow or dbt
Solid understanding of data modeling, ETL/ELT processes, and modern data architecture.

For confidential consideration, email careers@forgesc.com or apply directly!

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