Architect distributed data processing systems for modularity and fault tolerance.
Collaborate on architecture reviews to evolve the data platform for analytics/ML.
Develop framework components for data quality, observability, and recovery.
Standardize incremental data processing patterns for idempotency and scale.
Design schema evolution, metadata processing, and lineage for auditability.
Optimize storage formats, partitioning, and compute efficiency at scale.

🎯 Requirements

Bachelor’s degree or US equivalent in CS/Stats/IS or related; 5+ years data engineering exp.
4+ years designing/building large-scale data pipelines.
4+ years Spark, Kafka, PySpark, Databricks.
4+ years with Airflow and Spark Streaming.
4+ years Python; CI/CD (Jenkins).
4+ years Grafana dashboards for monitoring; data quality/ observability.

🎁 Benefits

Salary: $147,000 - $185,000/year.
Competitive benefits package for full-time employees.
On-site in Lehi, Utah.

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