Databricks Technical Lead

; Job Summary: We are seeking a seasoned Databricks Technical Lead to join our HR Systems Engineering team. This high-impact role involves leading the design, build, and optimization of a modern data platform, services, APIs, and cloud migration efforts that support over 420,000 associates. Operating within a product-centric, agile delivery model, this position is ideal for a technical leader passionate about performance, scalability, and delivering business value. Join an organization honored as one of the Best Places to Work in IT for seven consecutive years.
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; Job Responsibilities: Lead enterprise-grade data engineering initiatives using Azure Databricks and Medallion architectureDrive hands-on design and development of data pipelines, data platforms, and APIs using Python, PySpark, and ScalaBuild and manage REST, GraphQL, and gRPC APIs and integrate with microservices architectureCollaborate with product owners, engineers, and business leaders to align deliverables with business objectivesImplement secure, scalable solutions ensuring compliance with HR data privacy and security protocolsOptimize performance, cost, and scalability of data workloads in AzureDevelop CI/CD pipelines using Terraform, Bicep, and other Infrastructure-as-Code (IaC) toolsUtilize Azure Data Factory, Azure Synapse, Delta Lake, and related services for ETL/ELT processesLead platform security including encryption, access controls, and auditingProvide mentorship and leadership in a fast-paced, agile environmentSupport integration with Oracle HCM, Informatica, and event-driven architectures
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; Required Skills: 10+ years in data engineering, big data, or API development3+ years in a technical leadership roleExpertise in Azure Databricks, Apache Spark, Azure SQLStrong skills in Python, PySpark, Scala, and SQLExperience with Terraform, CI/CD, Azure DevOps, Infrastructure-as-CodeHands-on development of APIs and services (REST, GraphQL, gRPC)Knowledge of Azure Data Factory, Delta Lake, Synapse AnalyticsExperience with data security and compliance practicesFamiliarity with Docker, Kubernetes, and event-driven architectureExposure to Informatica ETL toolsExcellent communication, collaboration, and leadership skills
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; Preferred Skills: Microsoft Certified: Azure Solutions Architect Expert or Databricks Certified Engineer/ArchitectExperience with Scrum, SAFe, or similar agile frameworksFamiliarity with Azure API Management, Event HubExposure to Oracle HCM data models and integration methodsExperience with HR analytics platformsHands-on use of Informatica PowerCenter or IICS
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; Certifications:
; Preferred: Microsoft or Databricks technical certifications
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; Education: Bachelors or masters degree in computer science, Data Engineering, or related field
; Education: Bachelors Degree