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Remote Meta Data Center Jobs in Florida (NOW HIRING)

Humana

Lead, Network Engineer - AI

Fort Lauderdale, FL · Remote

$97K - $133K/yr

The Lead Network Engineer will be the technical SME for our enterprise WAN, remote LAN/WLAN, and data center SDWAN network services. This role is responsible for engineering, implementing, and ...

Humana

Lead, Network Engineer - AI

Tampa, FL · Remote

$95K - $132K/yr

The Lead Network Engineer will be the technical SME for our enterprise WAN, remote LAN/WLAN, and data center SDWAN network services. This role is responsible for engineering, implementing, and ...

Humana

Lead, Network Engineer - AI

Tampa, FL · Remote

$95K - $132K/yr

The Lead Network Engineer will be the technical SME for our enterprise WAN, remote LAN/WLAN, and data center SDWAN network services. This role is responsible for engineering, implementing, and ...

Humana

Lead, Network Engineer - AI

Tampa, FL · Remote

$95K - $132K/yr

The Lead Network Engineer will be the technical SME for our enterprise WAN, remote LAN/WLAN, and data center SDWAN network services. This role is responsible for engineering, implementing, and ...

Humana

Lead, Network Engineer - AI

Fort Lauderdale, FL · Remote

$97K - $133K/yr

The Lead Network Engineer will be the technical SME for our enterprise WAN, remote LAN/WLAN, and data center SDWAN network services. This role is responsible for engineering, implementing, and ...

Humana

Lead, Network Engineer - AI

Fort Lauderdale, FL · Remote

$97K - $133K/yr

The Lead Network Engineer will be the technical SME for our enterprise WAN, remote LAN/WLAN, and data center SDWAN network services. This role is responsible for engineering, implementing, and ...

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All JobsMeta Data Center JobsRemote Meta Data Center JobsRemote Meta Data Center Jobs in Florida

Remote Meta Data Center information

What is the difference between Remote Meta Data Center vs Data Center Technician?

AspectRemote Meta Data CenterData Center Technician
CredentialsCertifications in data management, networking, and cloud platformsCertifications in networking, hardware, and data center operations
Work EnvironmentPrimarily remote, managing data infrastructure virtuallyOn-site in data centers, handling physical hardware and equipment
Employer & IndustryTech companies, cloud providers, data management firmsTelecom, IT services, enterprise data centers
Search & Comparison IntentUnderstanding remote data management rolesPhysical hardware troubleshooting and maintenance

The Remote Meta Data Center role focuses on managing data infrastructure remotely, often involving cloud and virtual environments, while Data Center Technicians work on-site handling physical hardware and infrastructure. Both roles require technical certifications but differ mainly in work environment and daily tasks.

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Remote Meta Data Center jobs near you
Director of Data Center

Director of Data Center

Imagine Staffing Technology

Saint Petersburg, FL • Remote

$170K - $200K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Director of Data Center
Location: St. Petersburg, FL
Hire Type: Direct Hire
Pay Range: $170,000 - $200,000
Work Type: Full-time
Work Model: Remote
Work Schedule: Monday – Friday, 8am – 5pm
Recruiter Contact: Sean Pebbles | 716.256.1259 | spebbles@imaginegroup.com
Nature & Scope:
Positional Overview
The Imagine Group is recruiting for a Director of Data Center on behalf of our client, a leading provider of cloud-based software solutions that empower nonprofit organizations, associations, educational institutions, and mission-driven businesses to streamline operations and strengthen community engagement in St. Petersburg, FL. Through innovative technology and a customer-focused approach, the organization helps clients manage fundraising, membership, events, and financial processes while driving meaningful impact.
In this role you will be responsible for leading the strategic direction, daily operations, and performance of data center infrastructure to ensure the availability, security, and reliability of critical business systems. You will oversee capacity planning, disaster recovery, vendor relationships, and infrastructure projects while partnering with cross-functional teams to optimize operational efficiency, maintain compliance, and support long-term technology initiatives.
Role & Responsibility:
Tasks That Will Lead to Your Success
  • Enterprise Data Architecture & Strategy
  • Architecture Ownership: Own, evolve, and scale the enterprise data architecture supporting all product verticals.
  • Operational Standards: Establish standards, best practices, and repeatable patterns for data ingestion, transformation, and consumption.
  • Roadmap Alignment: Align data strategy directly with internal product roadmaps, engineering timelines, and advanced client analytics needs.
  • Planning & Design: * Define data migration scopes, constraints, historical requirements, and success criteria.
  • Design data mapping, transformation, enrichment, validation, and rollback protocols.
  • Partner with stakeholders to establish testing cycles, cutover plans, and client approvals.
  • Execution & Delivery: Oversee extraction, transformation, and loading (ETL) into test, UAT, and production environments.
  • Lead iterative migration cycles, resolve technical anomalies, and manage post-migration hypercare/remediation.
  • Deliver comprehensive migration completion documentation and client sign-offs.
  • Data Readiness: Assess source data usability; cleanse, normalize, and de-duplicate data sets to make them analytics-ready.
  • Custom Analytics & BI: Translate complex business objectives into custom dashboards, defining metrics, visualizations, filters, and refresh cadences.
  • Strategy Consulting: Advise clients on data collection methodologies (timing, frequency, automation) and practical data governance/stewardship operating frameworks.
  • Help define, manage, and mature the delivery workflows and quality standards associated with the Company’s AI Analytics subscription service offerings.
  • Prescriptive Analytics: Operationalize benchmarking frameworks and peer-group analysis, translating data into executive-ready insights for priority customer segments.
  • Service Commercialization: Track measurable client outcomes to develop case studies; partner with Product, Marketing, and Sales to support go-to-market and thought-leadership activities.
  • Integration Roadmap: Scope, prioritize, and support deal-driven integrations with third-party platforms to enhance workflow analytics.
  • Agentic Capabilities: Contribute to the creation, refinement, and client-facing alignment of agentic roles and AI-enabled capabilities.
  • Org Design: Build out the core Data Strategy & Services operating models, documentation standards, and prioritization frameworks.
  • Legacy Continuity: Maintain high-level Project Manager/Customer Engagement continuity for designated legacy accounts (requirements definition, risk management, internal coordination) during the initial transition framework.
  • Lead the creation and execution of cross-functional and cross-product data best practices.
  • Create and maintain Data COE Playbooks: Recommended operating models, prioritization frameworks, and service definitions for the scaled Data Strategy organization.
  • Create and maintain Technical Checklists: Robust service packages, data migration roadmaps, governance documentation, and architectural mapping guides.
  • Revenue in alignment with commercial targets.
  • Team billable utilization equal to or greater than goal.
  • Client NPS scores equal to or greater than goals.
Skills & Experience
Qualifications That Will Help You Thrive
  • Professional Experience: 7+ years of progressive leadership experience in Data Architecture, Enterprise Analytics, Business Intelligence, or Data Strategy.
  • Migration Domain Expertise: Demonstrated success in structuring and executing complex enterprise data migrations and third-party software integrations.
  • Consulting Background: Previous client-facing professional services or premium data consulting experience is highly preferred.
  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Administration, or an equivalent technical field.
  • Data management or governance certifications (e.g., DAMACDMP).
  • Core Competencies
  • Advanced Technology Literacy: Strategic understanding of BI tools, ETL architectures, cloud compliance, and modern agentic AI applications.
  • Cross-Functional Influence: Proven ability to partner dynamically across Product, Engineering, Sales, and Customer Success silos to operationalize data products and services.
  • Executive Communication: Exceptional communication, stakeholder management, and narrative-building skills capable of translating complex analytics into clear business actions.