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Location: Hybrid Wayne, PA 2 days on site required

Salary: 130-160K

Position Description:

Lead the design and optimize the data engineering platform, ensuring robust administration and operational efficiency.Build and maintain scalable Azure-based data processing environments integrated with tools such as Azure DevOps, HVR/Fivetran, Snowflake, Collibra, Power BI, and Tableau.Apply deep cloud engineering expertise across Azure, AWS, or GCP, leveraging Kubernetes, containers, serverless technologies, and modern architectural patterns.Automate infrastructure provisioning and management using Infrastructure-as-Code tools (Terraform, Ansible).Implement strong foundations in networking, security, identity and access management (IAM), monitoring, and automation.Collaborate with data architecture, engineering, and governance teams to deliver a secure, resilient, and scalable cloud data ecosystem.

Required Skills:

4+ years of hands-on Azure Databricks experience in enterprise environments On-Prem Hadoop technologies, or Snowflake, or any Big Data1+ year Terraform (or any Infrastructure as Code like Ansible) is a mustExperience with Azure DevOps is a must (GitHub, deployment pipelines from the engineering side).Regulatory industry experienceStrong proficiency in PySpark, Python, or PowerShell, or SQL, and lakehouse architectural concepts is a mustFamiliarity with Delta Live Tables, Unity Catalog, and MLflow a must

T1441637-PHI_1767984321 To Apply for this Job Click Here