Manager, Data Platforms & Analytics Engineering

Job Description

Manager, Data Platforms & Analytics Engineering

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Location : onsite in Tampa, FL

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Summary

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The Manager of Data Platforms & Analytics Engineering 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.

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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.

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The role is also responsible for expanding the technical capabilities of an established Database Administration team, helping experienced SQL Server professionals develop expertise across modern cloud and analytics platforms.

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Reporting Relationship

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Reports to: Director, Data Platforms & Database Services

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Key Responsibilities

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Platform Ownership & Administration

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

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

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

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• Mentor and coach database administrators transitioning into modern cloud and analytics platforms.
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• Develop training plans and learning paths.
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• Build technical depth across Databricks, Fabric, BigQuery, Snowflake, cloud services, and open-source technologies.
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• Create a culture of continuous learning and innovation.
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Operational Excellence

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

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

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Technical Expertise

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

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• Databricks (required)
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• Microsoft Fabric (required)
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• Azure Data Platform technologies
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• Cloud-native analytics platforms
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• Data lakehouse architectures
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• Data warehousing solutions
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• Enterprise identity and security models
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Experience in several of the following:

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

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• 7+ years of experience administering enterprise data platforms.
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• 3+ years leading technical teams or platform modernization initiatives.
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• Experience mentoring engineers and developing technical capabilities.
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• Experience establishing operational processes and support models.
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Architecture Experience

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Demonstrated experience with:

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

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