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Manager Knowledge Graph Jobs in Florida (NOW HIRING)

Data Lake Engineer

Doral, FL · On-site

$109K - $131K/yr

Configure and manage the integration interface between the Data Lake and the managed knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and catalog alignment.

Data Lake Engineer

Miami, FL

$109K - $131K/yr

Configure and manage the integration interface between the Data Lake and the managed knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and catalog alignment.

Ontologist, Ontology Engineer, Semantic Data Modeler, Knowledge Graph Engineer, Semantic Modeler ... management • Ensuring the model can be efficiently consumed by dashboards (Power BI), APIs, web ...

Data Lake Engineer

Miami, FL

$109K - $131K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

Data Lake Engineer

Doral, FL

$105K - $127K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

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Showing results 1-20

Manager Knowledge Graph information

What is the difference between Manager Knowledge Graph vs Data Analyst?

AspectManager Knowledge GraphData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; knowledge of graph databasesBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or data-driven companiesOffice setting, analyzing data sets, creating reports
Industry UsageUsed in AI, semantic web, knowledge management projectsUsed across finance, marketing, healthcare for data insights

The Manager Knowledge Graph focuses on designing and managing knowledge graph systems, requiring expertise in graph databases and data modeling. Data Analysts primarily interpret data to generate insights, using statistical tools. While both roles work with data, the Manager Knowledge Graph is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

What jobs make $1,000,000 a year?

In the context of a Manager Knowledge Graph or related high-level roles, earning $1,000,000 annually typically involves executive positions such as Chief Data Officer, Chief Technology Officer, or senior AI/ML executives, often in large technology or data-driven companies. These roles require extensive experience, advanced skills in data management, and leadership responsibilities, with compensation often including base salary, bonuses, and stock options. Such high earnings are rare and usually associated with top-tier organizations or successful startups.

What can I do with a knowledge graph?

A Manager Knowledge Graph can utilize structured data to improve data integration, support decision-making, and enhance search and recommendation systems. It involves skills in data modeling, ontology development, and graph database tools like Neo4j or GraphDB. This role enables organizations to organize complex information for better insights and automation.

Is the knowledge graph still relevant?

The role of a Manager Knowledge Graph remains relevant as organizations increasingly rely on structured data and semantic technologies to improve data integration, search, and decision-making. Knowledge graph management skills, including understanding graph databases and data modeling, are valuable in current data-driven environments. Staying updated with tools like Neo4j or RDF is beneficial for this role.

What job makes $10,000 a month without a degree?

Roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers can earn $10,000 or more monthly without a college degree, often through commissions, business ownership, or experience. Success in these jobs typically depends on skills, networking, and performance rather than formal education.
What are the most commonly searched types of Knowledge Graph jobs in Florida? The most popular types of Knowledge Graph jobs in Florida are:
What cities in Florida are hiring for Manager Knowledge Graph jobs? Cities in Florida with the most Manager Knowledge Graph job openings:
Data Lake Engineer with Security Clearance

Data Lake Engineer with Security Clearance

Prescient Edge

Doral, FL

$109K - $131K/yr

Other

Medical, Dental, Vision, Retirement

Posted 12 days ago


Job description

Prescient Edge is seeking a Data Lake Engineer to support a Federal Government client. Please note that the availability of this position is contingent upon contract award. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success.

To that end, we provide employees with a best-in-class benefits package that includes: * A competitive salary with performance bonus opportunities. * Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A substantial retirement plan with no vesting schedule.

* Career development opportunities, including on-the-job training, tuition reimbursement, and networking. * A positive work environment where employees are respected, supported, and engaged. Description: * Design, implement, and maintain scalable Data Lake architectures to support structured and unstructured data ingestion, ensuring efficient data access and retrieval.

* Configure and manage the integration interface between the Data Lake and the managed knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and catalog alignment. * Follow access control policies and usage scope. * Confirm compliance with access policies on a quarterly basis and document the results in the Data Governance & Compliance Report.

* Optimize ETL pipelines for high-volume data transformation, ensuring compliance with DoD IL-4/IL-5 security standards * Implement storage tiering strategies and access controls, ensuring data is properly classified, retained, and accessed per DoD governance requirements. * Submit the Data Lake Performance & Optimization Report, detailing ingestion efficiency, access control improvements, and storage utilization metrics. Job Requirements Experience: * Possess the knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.

* Skilled in Data Lake Platform administration, including workspace management, cluster optimization, and Unity Catalog integration for secure data governance. * Proficient in ETL pipeline development, Delta Lake architecture, and Data Lakehouse optimization for DoD analytics and mission critical data workflows. * Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Data Lakedevelopment and deployment.

* Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP. * Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud native data services for large-scale data processing and analytics. * Has strong background in: * Databricks platform administration, including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration.

* Data pipeline development (ETL/ELT), Delta Lake optimization, and AI/ML workflow integration. * SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines for automated deployment and governance. * Cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP.

Education: * A Master's degree or higher (e.g. Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field; or a minimum of 11+ years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms. Security clearance: * Active TS/SCI clearance.

Location: * Doral, Florida. (USSOUTHCOM Headquarters) Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community.

Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.


Prescient Edge logo

About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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