Role: AWS Data Engineer with Databricks & Snowflake

Location: Plano, TX (5 days onsite)Only local

Key Responsibilities:

Develop and optimize Databricks and Snowflake data pipelines and workflows.

Work on cloud platform optimization initiatives within AWS environments.

Drive FinOps optimization projects

Implement and manage Terraform for infrastructure as code.

Collaborate with cross-functional teams to enhance data platform reliability and performance.

Troubleshoot and resolve platform issues, ensuring data quality and efficiency

Databricks - Pricing & Consumption Models (AWS, Databricks, Snowflake)

Proven experience implementing FinOps frameworks and cost governance practices using tools such as AWS Cost Explorer, CloudHealth, and Trusted Advisor

Experience in optimizing data and analytics workloads on AWS, including Databricks, Snowflake, and Redshift.

Ability to drive cost optimization and efficiency improvements across large-scale AWS environments.

Expertise in analyzing telemetry and usage patterns to recommend right-sizing, workload re-architecture, or automation opportunities