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Knowledge Graph Architect Jobs in Natick, MA (NOW HIRING)

Comprehensive knowledge of modern SharePoint architecture, hub sites, Microsoft Graph API, and managing large data sets (overcoming delegation limits). * Data Sources: Deep practical understanding of ...

... Security Intelligence Graph. * Architecture & Scalability: Drive meaningful architectural ... bar through knowledge sharing and best practices. What You'll Bring: * At least 5 years of ...

Principal Software Engineer

Boston, MA · On-site

$152K - $228K/yr

... Security Intelligence Graph. * Architecture & Scalability: Drive meaningful architectural ... bar through knowledge sharing and best practices. What You'll Bring: * At least 5 years of ...

Senior Fullstack Engineer

Boston, MA · On-site

$90 - $130/hr

Architect infrastructure for new product surface areas, including compliance capabilities beyond ... Exposure to graph databases or knowledge graph systems. Experience building or scaling real-time ...

Showing results 21-40

Knowledge Graph Architect information

See Natick, MA salary details

$48K

$132.9K

$208K

How much do knowledge graph architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for knowledge graph architect in Natick, MA is $132,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $171,400.00 per year, depending on experience, location, and employer.

What is a knowledge graph architect?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are the key skills and qualifications needed to thrive as a knowledge graph architect?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.

What are some typical challenges knowledge graph architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What cities near Natick, MA are hiring for Knowledge Graph Architect jobs?

Cities near Natick, MA with the most Knowledge Graph Architect job openings:

PowerApps Architect

Xoriant Corporation

Boston, MA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

PowerApps Architect

NY/MA (Hybrid Onsite)

Banking Domain

 

Need Sr level folks hands on architect level folks,

Job Description:

Key Responsibilities

Solution Design & Rapid Application Development

  • Custom Applications: Architect and build high-performance Power Apps (Canvas and Model-driven) to digitize employee lifecycle events, specialized HR approvals, and internal resource tracking.
  • Complex Workflows: Design end-to-end, automated business logic using Power Automate (Cloud and Desktop Flows), implementing nested loops, multi-stage approval logic, and exception handling.
  • SharePoint Online Infrastructure: Provision, configure, and maintain advanced SharePoint Online sites, managing intricate custom forms, document libraries, large lists, and role-based access control (RBAC).

Enterprise Intranet & Integration Engineering

  • Enterprise Connectivity: Seamlessly integrate Power Platform solutions with core HR systems (such as Workday), internal APIs, and Azure Active Directory using standard and custom connectors.
  • Intranet Optimization: Build and support personalized, global employee intranet portals, ensuring high performance, intuitive information architecture, and crisp responsive layout design across desktop and mobile.

Risk, Compliance & Platform Governance

  • Security & Guardrails: Align all applications with State Street’s rigorous information security, data privacy (e.g., GDPR), and risk management policies.
  • Data Lifecycle Management: Handle sensitive employee data with strict adherence to data masking, least-privilege permission models, and enterprise audit logging.
  • ALM Execution: Maintain environment strategy discipline across Development, UAT, and Production environments using Power Platform Solutions and modern CI/CD practices.

Technical & Professional Qualifications

Required Technical Skills

  • Microsoft Power Platform: 8+ years of deep, hands-on experience using Power Apps (advanced formulas, responsive design, component libraries) and Power Automate (expressions, data operations, advanced loops).
  • SharePoint Online: Comprehensive knowledge of modern SharePoint architecture, hub sites, Microsoft Graph API, and managing large data sets (overcoming delegation limits).
  • Data Sources: Deep practical understanding of Microsoft Dataverse, SQL Server, and SharePoint lists as backend data structures.