Job Description

Lead Data Platform Engineer Location: Miramar, Dallas or Remote Sr. Data Platform Engineer who thrives in a hybrid role 60% administration and 40% development/support to help us scale our data and DataOps infrastructure. You ll work with cutting-edge technologies like Databricks, Apache Spark, Delta Lake, and AWS CloudOps, Cloud Security, while supporting mission-critical data pipelines and integrations. If you re a hands-on engineer with strong Python skills, deep AWS experience, and a knack for solving complex data challenges, we want to hear from you.

• Design, develop, and maintain scalable ETL pipelines and integration frameworks.
• Administer and optimize Databricks and Apache Spark environments for data engineering workloads.
• Build and manage data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3.
• Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments.
• Automate platform operations using Python, PySpark, and infrastructure-as-code tools.
• Collaborate with cross-functional teams to support data ingestion, transformation, and deployment.
• Provide technical leadership and mentorship to junior developers and third-party teams.
• Create and maintain technical documentation and training materials.
• Troubleshoot recurring issues and implement long-term resolutions.

• Bachelor s or Master s degree in Computer Science or related field.
• 5+ years of experience in data engineering or platform administration.
• 3+ years of experience in integration framework development with a strong emphasis on Databricks, AWS, and ETL.

• Strong programming skills in Python and PySpark.
• Expertise in Databricks, Apache Spark, and Delta Lake.
• Proficiency in AWS CloudOps, Cloud Security, including configuration, deployment, and mon

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