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Senior Databricks engineer

Job

Promantis Inc

Phoenix, AZ (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/14/2026

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Job Description

Please note that this is a W2 role and we are primarily looking for local candidates. We are not able to accept OPT candidates at this time. However, if you have over 10 years of real-time experience, we encourage you to apply. Key Responsibilities Implement enterprise-grade Lakehouse solutions using Databricks. Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
Lead implementation of:
Cloud-based data lakehouse platforms integrating diverse data sources. Real-time data processing pipelines for operational and analytical use cases. Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL. Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies. Design and build incremental data loading frameworks and metadata-driven ingestion pipelines. Establish data quality frameworks and governance standards. Implement and manage Unity Catalog, including fine-grained security and access controls.
Leverage Databricks components such as:
Delta Live Tables Autoloader Structured Streaming Databricks Workflows Integration with orchestration tools (e.g., Apache Airflow) Drive CI/CD automation, deployment strategies, and DevOps best practices. Optimize performance of pipelines, Spark jobs, and compute resources. Provide architectural guidance and technical leadership across cross-functional teams. Engage with stakeholders and clients to translate business requirements into scalable technical solutions.