Platform Engineer

Senior Data Platform Engineer Hybrid | Full-TimeAre you passionate about building and optimizing modern cloud data platforms? We're seeking a Senior Data Platform Engineer to help drive the evolution of a large-scale enterprise data ecosystem across Azure, Databricks, governance, security, and analytics platforms.In this highly visible role, you'll be responsible for designing, engineering, and supporting scalable data platforms that enable analytics, AI/ML, and business intelligence initiatives while ensuring performance, security, governance, and cost efficiency.What You'll Be DoingDesign, build, and support cloud-native data platforms using Microsoft Azure, Databricks, Delta Lake, and Azure Data Lake StorageDevelop and optimize enterprise data pipelines, ETL/ELT processes, and lakehouse architecturesManage and enhance Databricks environments, including clusters, workloads, SQL Warehouses, performance tuning, and cost optimizationAdminister and support Unity Catalog, data governance, security, lineage, and access controlsDevelop robust ingestion frameworks for structured, semi-structured, and unstructured data sourcesImplement monitoring, observability, automation, and operational best practices across the platformDrive Infrastructure-as-Code and CI/CD initiatives using Terraform, Azure DevOps, Git, and GitHub ActionsPartner with architecture, security, governance, and business teams to deliver trusted enterprise data solutionsProvide technical leadership and mentorship to engineering teams

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.
Required Experience 5+ years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Engineering Strong hands-on experience with:DatabricksSpark / PySparkDelta LakeSQLPythonAzure Data FactoryAzure Data Lake Storage (ADLS Gen2)Unity Catalog Experience with:Collibra or similar data governance platformsImmuta or comparable data security xzbcwsv and access management toolsCI/CD, Infrastructure as Code, and cloud automationData integration across APIs, databases, enterprise applications, and event-driven architectures Strong understanding of:Data governanceData security and privacyRole-Based and Attribute-Based Access Controls (RBAC/ABAC)Monitoring, observability, incident management, and platform operationsNice to HavedbtApache AirflowAzure Event HubsSpark Structured StreamingAzure Synapse AnalyticsMicrosoft PurviewKubernetesFinOps / Cloud Cost OptimizationAI/ML Data Platform experience