Lead Platform Engineer

Your Opportunity as the Lead Platform Engineer, Enterprise Data Platform The Lead Platform Engineer serves as the technical authority responsible for defining the administration, governance, and operational excellence of the Enterprise Data Platform.  This role drives platform standardization, performance, governance, and usability, ensuring that analytics, data science, and data engineering teams can efficiently build, access, and trust data products.  The role is accountable for end-to-end platform health, including Tableau Cloud administration, Databricks platform configuration, Atlan configuration and overall ecosystem reliability. It establishes the technical foundation that supports scalable analytics, models, reporting, and data engineering workloads across the enterprise. Location: Orrville, OH (Close proximity to Cleveland/Akron) Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires In this role you will: Platform Architecture & Standards Define, implement, and govern platform administration, standards, architectural patterns, and operational guardrails across Tableau Cloud, Databricks, Atlan, and related analytics technologies. Establish scalable and secure platform architectures, including environment strategy, permissions models, workspace design, content promotion, job orchestration, and compute governance. Standardize deployment, configuration, and operational processes to improve consistency, reliability, and maintainability across the analytics ecosystem. Drive adoption of platform best practices through collaboration with engineering, architecture, security, and business teams while ensuring alignment with enterprise governance and data management policies. Platform Enablement Lead Databricks database administration practices, including Unity Catalog governance, schema and metadata management, performance optimization, storage lifecycle management, data retention, and access control standards Define how platform capabilities are used to support scalable analytics and data pipelines Establish standards for job execution and scheduling Ensure platform supports medallion architecture patterns and modern ingestion approaches Reliability, Observability & Performance Own the monitoring, observability, and operational health strategy for Tableau Cloud, Databricks, Atlan, and related analytics platforms. Establish proactive health checks, alerting frameworks, and performance monitoring capabilities to ensure platform reliability, availability, and service quality. Drive continuous optimization of platform performance by identifying and resolving issues affecting dashboards, data pipelines, compute resources, and end-user experience. Define, monitor, and communicate platform SLAs, KPIs, and operational metrics while leading vendor engagement and escalation management to support service excellence. DevOps & Automation Define, design and implement DevOps standards, deployment processes, and release management practices across Tableau Cloud, Databricks, Atlan, and supporting platform technologies. Design, implement, and continuously improve CI/CD processes that enable secure, reliable, and repeatable deployment of platform configurations, analytics assets, and data products. Establish Infrastructure-as-Code (IaC) standards to improve consistency, scalability, auditability, and operational efficiency across environments. Drive automation of platform provisioning, configuration management, access controls, monitoring, and operational processes to reduce manual administration and improve service quality. Cost Optimization & Efficiency Design and implement platform cost management standards, ensuring efficient utilization of compute, storage, licensing, and infrastructure resources. Monitor platform consumption and performance metrics to identify optimization opportunities and drive cost-effective, scalable platform