Data Architect

INVOKE; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

INVOKE is seeking a Data Architect to support a major public sector modernization initiative focused on data, automation, and AI enablement. You will work directly with stakeholders to understand existing data environments, design scalable data architectures, and establish the data foundation needed for dashboards, data products, automation, and AI-enabled solutions.

The role emphasizes hands-on solution design, architecture, troubleshooting, and practical delivery while guiding a

Qualifications

• Strong professional experience in Data Architecture, Solution Architecture, Data Engineering, or a closely related technical discipline.
• Strong understanding of data modeling, data integration, data pipelines, and modern data platforms.
• Experience designing or working with data ontologies, semantic models, or similar approaches to organizing complex data environments.
• Experience integrating data from multiple systems and improving data quality and usability.
• Ability to understand complex business problems and translate them into clear technical solutions.
• Experience providing technical leadership and architectural direction within multidisciplinary delivery teams.
• Strong communication and stakeholder-management skills, including the ability to work directly with customers.
• Comfortable operating in a consulting or delivery environment where requirements may evolve and solutions need to be practical and actionable.
• Ability to balance high-level architectural thinking with hands-on technical involvement.

Responsibilities

• Understand existing data environments, processes, challenges, and modernization goals with stakeholders.
• Design scalable data architectures to support analytics, dashboards, data products, automation, and AI-enabled capabilities.
• Define data structure, integration, governance, and accessibility across systems and functions.
• Develop data models, ontologies, and integration patterns for downstream solutions.
• Improve data quality, consistency, accessibility, and interoperability across sources.
• Translate business requirements into practical technical architectures and implementation approaches.
• Provide technical direction to developers, engineers, and delivery teams while staying hands-on.
• Communicate architecture decisions, tradeoffs, and recommendations to stakeholders.
• Establish scalable architectural standards and best practices for the modernization effort.

Skills

Data Architecture

Solution Architecture

Data Engineering

Tools

Palantir Foundry/Envision

Job description

Invoke is a consulting and innovation firm focused on delivering Intelligent Automation and AI solutions that solve real operational challenges. We partner with organizations across industries, including the public sector, to design and implement scalable RPA and AI-driven workflows that improve efficiency, accuracy, and reliability.

Our teams work hands-on with clients to automate complex processes across a range of systems, from modern applications to legacy environments. A significant portion of our work is within the public sector, where we help government organizations streamline high-volume processes, improve data quality, and modernize critical operations through automation and AI.

We are looking for a Data Architect to support a major public sector modernization initiative focused on data, automation, and AI enablement. In this role, you will work directly with stakeholders to understand existing data environments and business processes, design scalable data architectures, and establish the data foundation needed to support dashboards, data products, automation, and AI-enabled solutions. Experience with Palantir Foundry/Envision, particularly its data integration and ontology capabilities, would be highly valuable.

What You'll Do

• Work directly with stakeholders to understand existing data environments, processes, challenges, and modernization goals.
• Design scalable data architectures that support analytics, dashboards, data products, automation, and AI-enabled capabilities.
• Define how data should be structured, integrated, governed, and made accessible across different systems and business functions.
• Design and develop data models, ontologies, and integration patterns that create a strong foundation for downstream solutions.
• Help improve data quality, consistency, accessibility, and interoperability across multiple data sources.
• Translate business and mission requirements into practical technical architectures and implementation approaches.
• Provide technical direction to developers, engineers, and other members of the delivery team.
• Remain hands-on in solution design, architecture, troubleshooting, and implementation rather than operating solely in an advisory capacity.
• Partner with technical and non-technical stakeholders to communicate architecture decisions, tradeoffs, and recommendations.
• Help establish architectural standards and best practices that can scale as the modernization effort grows.

What We're Looking For

• Strong professional experience in Data Architecture, Solution Architecture, Data Engineering, or a closely related technical discipline.
• Strong understanding of data modeling, data integration, data pipelines, and modern data platforms.
• Experience designing or working with data ontologies, semantic models, or similar approaches to organizing complex data environments.
• Experience integrating data from multiple systems and improving data quality and usability.
• Ability to understand complex business problems and translate them into clear technical solutions.
• Experience providing technical leadership and architectural direction within multidisciplinary delivery teams.
• Strong communication and stakeholder-management skills, including the ability to work directly with customers.
• Comfortable operating in a consulting or delivery environment where requirements may evolve and solutions need to be practical and actionable.
• Ability to balance high-level architectural thinking with hands-on technical involvement.

Preferred Experience

• Hands-on experience with Palantir Foundry and/or Palantir Envision.
• Experience developing or designing solutions using Palantir Ontology and Foundry's data integration capabilities.
• Experience supporting data modernization, digital transformation, or enterprise analytics initiatives.
• Exposure to AI/ML, generative AI, automation, or AI-enabled workflows.
• Experience designing data architectures that support both traditional analytics and emerging AI use cases.
• Previous experience supporting government, defense, or other complex enterprise environments is beneficial.

As this is for a Public Sector engagement, U.S. citizenship is required