Data and Analytics Platforms Manager

Data and Analytics Platforms Manager

Location : onsite in Tampa, FL

Summary

The Data and Analytics Platforms Manager is responsible for the architecture, administration, governance, security, reliability, and strategic evolution of enterprise data platforms supporting analytics, AI, data engineering, and business intelligence initiatives.

This leader will serve as the subject matter expert and operational owner for modern data platforms including Databricks, Microsoft Fabric, BigQuery, Synapse, cloud-native databases, and emerging analytics technologies. They will partner closely with data engineering, analytics, AI, governance, and business teams to ensure platforms are secure, scalable, cost-effective, and aligned with enterprise strategy.

Reporting Relationship

Reports to: Director, Data Platforms & Database Services

Key Responsibilities

Platform Ownership & Administration

• Own the technical administration and operational governance of enterprise data platforms.
• Lead platform configuration, capacity planning, monitoring, backup strategies, disaster recovery planning, and operational support.
• Establish standards for availability, performance, security, reliability, and cost management.
• Develop platform roadmaps and modernization strategies.
• Drive automation wherever possible.

Analytics Platform Architecture

• Serve as the lead architect for analytics and data platform technologies.
• Evaluate current platform implementations and recommend improvements.
• Ensure platforms are configured according to industry best practices.
• Define reference architectures and operational standards.
• Lead technology assessments and future platform selection activities.

Security & Data Governance

• Establish and maintain access control models.
• Lead platform security reviews and compliance activities.
• Implement role-based access models, data protection controls, and governance standards.
• Partner with Data Trust and Governance teams to support enterprise requirements.

Operational Excellence

• Establish support models and operational procedures.
• Define platform SLAs, SLOs, and monitoring strategies.
• Create runbooks, standards, and technical documentation.
• Drive incident reduction and platform resiliency improvements.

Stakeholder Engagement

• Partner with Data Engineering, Analytics, AI, Governance, Security, Infrastructure, and Application teams.
• Provide consulting and technical direction for platform usage and architecture.
• Communicate platform strategy and recommendations to technical and executive stakeholders.

Required Qualifications

Technical Expertise

Strong hands-on experience with multiple modern data platforms including:

• Databricks (required)
• Microsoft Fabric (required)
• Azure Data Platform technologies
• Cloud-native analytics platforms
• Data lakehouse architectures
• Data warehousing solutions
• Enterprise identity and security models

Experience in several of the following:

• BigQuery
• Snowflake
• Synapse Analytics
• Semarchy
• PostgreSQL
• MySQL
• MongoDB
• Azure SQL Database
• SQL Server

Architecture Experience

Demonstrated experience with:

• Analytics platform architecture
• Cloud data platforms
• Lakehouse architectures
• Data security and governance
• High availability and disaster recovery
• Cost optimization
• Platform migrations and modernization projects

Preferred Qualifications

• Databricks Certified Professional
• Microsoft Fabric Certification
• Azure Solutions Architect Certification
• Google Cloud Professional Data Engineer
• Experience supporting AI and machine learning workloads
• Experience operating global-scale data environments