Hiring: Data Platform Manager Company: HARMAN International Location: Novi, MI Job Posted Time: 2026-09-10 13:59:04 Employment Type: Hybrid Target Skills & Keywords : Azure, Azure DevOps, CI/CD, Configuration Management, Data Warehouse, Databricks, Delta Lake, Digital Transformation, ETL, Enterprise Architecture, GitHub, Infrastructure as Code, MLflow, Serverless, Spark, Stakeholder Management, Terraform, User Experience About the job Experience: •8+ years of experience in enterprise data platforms, data engineering platforms, cloud platforms, or related technology environments, with demonstrated technical leadership responsibility. Required Skills: •Own the technical architecture, engineering direction, and evolution of the Enterprise Data Platform, with Azure Databricks as the strategic enterprise data and AI platform. •Define and maintain platform architecture standards, technical patterns, architecture decisions, and guardrails across Databricks, Azure services, identity, networking, security, storage, governance, automation, and operations. •Own the technical platform roadmap and lifecycle, including platform capabilities, architecture evolution, technical debt, reliability improvements, automation, and engineering investments. •Partner with the Data Platform Portfolio Manager on demand, dependencies, sequencing, and capacity while retaining ownership of the platform capability and technical roadmap. •Manage the platform as an enterprise product and service with defined capabilities, service expectations, measurable outcomes, adoption goals, and a strong focus on developer and user experience. •Lead a multidisciplinary technical team spanning Platform Engineering, Data Engineering, Data Product Enablement, and Site Reliability Engineering. •Set clear technical direction and accountability across the team and develop senior technical talent capable of owning major platform capabilities and engineering domains. •Balance engineering capacity across platform development, reliability, technical debt, automation, operational improvement, reusable capabilities, and targeted data product enablement. Qualifications: •Previous experience as a Data Platform Lead, Data Platform Engineering Manager, Data Engineering Manager, Lead Data Architect, Cloud Platform Lead, or similar enterprise technical leadership role. •Deep experience operating Azure Databricks as a strategic enterprise data platform. •Operational familiarity with MLflow, model lifecycle management, feature engineering, or other Databricks AI and ML platform capabilities. •Knowledge of software engineering best practices applied to data platform engineering and data product delivery. •Relevant certifications in Microsoft Azure, Databricks, cloud architecture, data engineering, or related technical disciplines. Compensation: •$125,250 - $183,700 / year •Dependent on the position offered, other forms of compensation are also available, such as bonuses or commission Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!