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Remote Argo Data Jobs (NOW HIRING)

Archera

Software Engineer, Data Quality

$117K - $140K/yr

Workflow orchestration (Argo, Airflow, Dagster) and data pipeline or ETL experience. * Test ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Archera

Software Engineer, Data Quality

$117K - $140K/yr

Workflow orchestration (Argo, Airflow, Dagster) and data pipeline or ETL experience. * Test ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Akuity

Community Manager - Open Source

Remote (U.S. or Canada) | Full-Time | Quarterly Travel Open Source Community Manager Job Title Open ... Argo CD is one of the most deployed CD tools in cloud-native infrastructure. Kargo, our newer ...

Brookfield

Argo offers a full line of products and services designed to meet the unique coverage and claims ... Exempt Location: In-Officeor Remote Summary: We are looking for a highly capable Senior ...

Brookfield

Argo offers a full line of products and services designed to meet the unique coverage and claims ... Exempt Location: In-Officeor Remote Summary: We are looking for a highly capable Senior ...

Brookfield

Argo offers a full line of products and services designed to meet the unique coverage and claims ... Exempt Location: In-Officeor Remote Summary: We are looking for a highly capable Senior ...

Brookfield

Argo offers a full line of products and services designed to meet the unique coverage and claims ... Exempt Location: In-Officeor Remote Summary: We are looking for a highly capable Senior ...

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Remote Argo Data information

What is a remote Argo Data job?

Remote Argo Data jobs typically involve working with the Argo program, which collects oceanographic data through a global network of autonomous floats. Professionals in these roles may analyze, process, or manage data collected from these floats, often working remotely via computer networks. Tasks can include data quality control, visualization, database management, or research using Argo datasets. These positions are valuable in oceanography, climate science, and environmental monitoring, allowing experts to contribute to global ocean observations from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote Argo Data analyst?

To thrive as a Remote Argo Data Analyst, you need a solid background in oceanography, data analysis, and statistical methods, often supported by a relevant science or engineering degree. Experience with data processing tools such as MATLAB, Python, or R, as well as familiarity with Argo data systems and remote sensing platforms, is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with research teams. These competencies ensure accurate data analysis, meaningful scientific insights, and productive teamwork in advancing oceanographic research.

How do remote Argo Data professionals typically collaborate with cross-functional teams?

Remote Argo Data professionals often work closely with teams such as DevOps, software engineering, and cloud infrastructure, using collaboration tools like Slack, Jira, and video conferencing to stay connected. They participate in regular standups, sprint planning, and code reviews to ensure alignment on deploying and maintaining Argo workflows. Clear documentation and proactive communication are essential for troubleshooting and implementing data pipelines efficiently, making teamwork a key aspect of the remote environment.

What is the difference between Remote Argo Data vs Remote Data Analyst?

AspectRemote Argo DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; familiarity with Argo data systemsBachelor's in Statistics, Data Analysis, or related; proficiency in data tools and SQL
Work EnvironmentRemote, often in research or scientific organizations handling Argo float dataRemote, in various industries like finance, healthcare, marketing
Industry UsageScientific research, oceanography, climate studiesBusiness, finance, healthcare, marketing
Common Search/ComparisonYesYes

Remote Argo Data specialists focus on processing and analyzing oceanographic float data, often requiring scientific background. Remote Data Analysts work across industries analyzing diverse datasets. While both roles involve data handling remotely, their focus areas and required skills differ significantly.

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Cities with the most Remote Argo Data job openings:

What are the most commonly searched types of Argo Data jobs?

The most popular types of Argo Data jobs are:

What states have the most Remote Argo Data jobs?

States with the most job openings for Remote Argo Data jobs include:

What job categories do people searching Remote Argo Data jobs look for?

The top searched job categories for Remote Argo Data jobs are:

Remote Argo Data jobs near you
Infographic showing various Remote Argo Data job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI/ML Ops Enterprise Architect

Calabasas, CA • On-site, Remote

PROLIM Global Corporation
IT Services • 201 - 500 employees
Learn more about PROLIM Global Corporationexternal

Full-time

Posted 16 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking AI/ML Ops Enterprise Architect for location, Woodland Hills, CA - Onsite or Remote, United State location for one of our Top clients.
Location Woodland Hills, CA - Onsite or Remote
Duration: 6 Months (With Possible Extension)
Job Type: Contract
Experience Required: 10+ years
Job Summary:
We are seeking a Senior AI/ML Ops Enterprise Architect with 10+ years of enterprise architecture experience and strong expertise in AWS cloud, MLOps, AI/ML infrastructure, Kubernetes, data architecture, and enterprise integrations.
The ideal candidate will architect scalable ML/AI platforms in a multi-tenant SaaS environment, establish MLOps strategy and best practices, and work closely with data scientists, data engineers, DevOps, and enterprise IT teams.
Key Responsibilities
  • Architect and implement scalable AWS ML/AI cloud infrastructure for multi-tenant SaaS environments.
  • Define enterprise standards and best practices for ML model development, deployment, monitoring, and governance.
  • Collaborate with data scientists, data engineers, and IT teams to establish MLOps requirements and architecture.
  • Evaluate and recommend MLOps platforms and technologies such as AWS SageMaker, Databricks, and Vertex AI.
  • Integrate ML pipelines with enterprise data and application architectures; Guidewire integration experience is highly desirable.
  • Provide architecture guidance for Kubernetes-based ML/AI environments.
  • Evaluate and guide workflow orchestration technologies such as Argo, Kubeflow, and Apache Airflow.
  • Design and govern ML/AI data pipelines, feature stores, and data products.
  • Use Argo CD / Argo Workflows for automated infrastructure and application deployment.
  • Establish security, governance, scalability, and reliability standards for distributed AI/ML systems.
  • Mentor technical teams on MLOps architecture, tooling, DevOps practices, and enterprise architecture standards.

Required Qualifications
  • 10+ years of experience across architecture disciplines with significant enterprise architecture leadership.
  • 5+ years developing AI/ML strategy and technology roadmaps.
  • 4+ years of MLOps experience with platforms such as AWS SageMaker, GCP Vertex AI, or Databricks.
  • 3+ years with ML/data pipeline orchestration technologies such as Kubeflow and Apache Airflow.
  • 2+ years with ML feature store technologies such as Tecton, Databricks, or FeatureForm.
  • 3+ years with DevOps, Kubernetes/containerization, and technologies such as Argo CD or Argo Workflows.
  • 3+ years of enterprise application integration experience; Guidewire or Salesforce is highly desirable.
  • 4+ years with data platforms such as Snowflake, Amazon Redshift, or BigQuery.
  • 2+ years working with GenAI/LLM technologies such as OpenAI or Gemini.
  • 1+ year with Agentic AI frameworks such as LangGraph, AutoGen, or Google ADK.
  • 3+ years of API orchestration experience with MuleSoft or Google Cloud API technologies.
  • Strong experience with AWS, Azure ML, Kubernetes, Apache Beam, and enterprise architecture.

Architecture Experience
  • 3+ years with Data Mesh Architecture and Data Product Design.
  • 3+ years with Event-Driven Architecture (EDA).
  • 4+ years designing scalable AWS ML/AI infrastructure in multi-tenant SaaS environments.
  • 3+ years developing data architecture guidelines and standards.
  • 3+ years of security experience in distributed systems.
  • 4+ years designing scalable, decoupled enterprise systems.
  • 5+ years of technology strategy and roadmap development.
  • Strong ability to influence architecture decisions using data-driven insights.

Preferred Domain Experience
  • 4+ years of functional knowledge in Insurance, including Policy, Claims, and Services Operations.
  • 2+ years of experience with insurance legal, regulatory, and compliance requirements.
  • 3+ years of data product development for functional business domains.
  • 2+ years of experience delivering AI-driven business process automation.
  • Experience with Guidewire integrations is highly preferred.

About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.
Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

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