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Data Compute Jobs in Florida (NOW HIRING)

Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ... Databricks-first platform - Lakehouse architecture with Unity Catalog, MLflow, and scalable compute

Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ... Databricks-first platform - Lakehouse architecture with Unity Catalog, MLflow, and scalable compute

Data Governance Manager

Miami, FL · On-site

$49.50 - $66.75/hr

The Data Governance Manager will oversee the company's data architecture and document control ... Hut 8 is an energy infrastructure platform integrating power, digital infrastructure, and compute ...

Senior Data Engineer

Jacksonville, FL · On-site +1

$98K - $133K/yr

Experience with Azure data storage, compute, and integration services. * Knowledge of Git for version control and collaboration. * Exposure to end-to-end data flow, ingestion, and orchestration ...

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

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Data Compute information

What are the key skills and qualifications needed to thrive in the Data Compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What are the typical daily responsibilities of someone in a Data Compute role?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

What is a Data Compute job?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What job categories do people searching Data Compute jobs in Florida look for? The top searched job categories for Data Compute jobs in Florida are:

Lead Data Platform Administrator

CLA (CliftonLarsonAllen)

Orlando, FL • On-site

Full-time

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


Job description

Job Summary:
CLA is a top 10 national professional services firm dedicated to creating opportunities for clients and communities. They are seeking a Lead Platform Administrator to drive operational excellence and governance across the enterprise data and analytics platform, ensuring stability and scalability.
Responsibilities:
• Own day-to-day operations of the enterprise data platforms, ensuring high availability, performance, and resilience.
• Manage and optimize compute environments, including: Kubernetes-based & Databricks computes platforms.
• Ensure platform architecture is operationalized, scalable, and aligned with enterprise standards.
• Provide escalated support and troubleshooting; oversee data governance, access control, and catalog services, including external access controls such as service principals, SQL warehouses, Delta Sharing, and equivalent platform capabilities.
• Drive cost optimization, capacity planning, and performance turning across platform services.
• Ensure consistent provisioning and configuration of: Compute, networking, storage, and access layers
• Govern environment consistency across Dev / Test / Prod via automated deployment pipelines.
• Partner with engineering teams to eliminate manual operations through automation-first practices.
• Own incident management lifecycle: Detection, Triage, Resolution, Root Cause Analysis, Prevention
• Lead response to critical platform incidents and escalations.
• Establish and maintain: Runbooks, Playbooks
• Define and enforce platform DevOps standards, including CI/CD, infrastructure‑as‑code, environment promotion, and automated compliance controls across the platform ecosystem
• Support controlled promotion of assets across environments with auditability.
• Lead implementation of monitoring and observability frameworks across: Databricks , Kubernetes, APIM and equivalents platforms.
• Oversee development of dashboards, alerts, and health checks.
• Ensure proactive issue detection and preventative maintenance.
• Provide leadership and direction for associate platform engineers and administrators.
• Partners with architecture, data engineering, and governance teams to align platform operations with business priorities.
Qualifications:
Required:
• 6 years of relevant experience required; supervisory experience a plus
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
• Deep understanding of enterprise data, analytics, and compute platforms, including cloud data services, analytics tools, and Kubernetes environments.
• Ability to define and enforce platform standards for security, governance, automation, CI/CD, and operational excellence.
• Experience leading DevOps and platform engineering practices, including infrastructure‑as‑code and environment lifecycle management.
• Strong knowledge of cloud cost management, scalability, and reliability engineering.
• Ability to evaluate and guide adoption of emerging platform technologies.
Preferred:
• Degree in computer science preferred
Company:
CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, outsourcing, audit, tax, and consulting services. Founded in 1998, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.