Strong hands-on experience with Snowflake, especially Data Metric Functions (DMFs)
Advanced experience with dbt (metadata, testing, orchestration)
Proven experience integrating observability tools like Splunk
Experience with incident management platforms (OpsGenie preferred)
Requirements:
Standardize and automate dbt metadata capture across all model runs
Implement and manage observability rules across key dimensions such as validity, freshness, volume, and schema values
Design and implement targeted Snowflake DMFs and define dynamic thresholds to reduce alert fatigue
Build a single pane of glass for data observability using Splunk, creating high-performance alerts correlating dbt job failures with DMF violations
Job description
Client: Workiva
Job Title: Senior Data Engineer – Data Observability (Snowflake, dbt, DMF)
Location: LATAM
Duration: 6months Role Overview We are looking for a highly skilled Senior Data Engineer with strong experience in Data Observability to help operationalize and scale a robust data reliability framework. This role will focus on implementing end-to-end observability across dbt, Snowflake Data Metric Functions (DMFs), Splunk, and OpsGenie, ensuring proactive detection and resolution of data quality issues across critical data assets. The mission is to establish a self-healing, highly visible data reliability layer that eliminates silent data failures and enables faster incident response.
