Solutions Architect AFRL - Rome, NY

Job description

Stardog, the leading Enterprise Knowledge Graph platform, turns data into knowledge to power more effective digital transformations. Industry leaders including Bosch, NASA, and Raytheon use Stardog to create a flexible data layer that can support countless applications. One of *Fast Company*'s prestigious [Most Innovative Companies](https://www.stardog.com/blog/fast-company-names-stardog-7th-most-innovative-enterprise/), Stardog is a fast-growing venture-backed company with a globally distributed team. We are looking for a motivated and skilled Solution Architect to join our growing team. In this role, you will be responsible for delivering technology solutions that align with business goals and technical requirements. You will work closely with stakeholders, including business leaders, project managers, developers, and other architects, to ensure the successful design and implementation of solutions across multiple platforms. You will handle multiple concurrent projects. You need to be comfortable with and have experience working remotely. You must have strong communication skills as much of our interactions will be over email and chat where it is harder to get your point across. ### Requirement - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience). - Minimum of 7 years experience working with data operations for enterprises, especially supporting RDF, ETL (Nifi), SQL (DB2, Oracle, etc.) - Security Clearance: Active DoD Secret clearance is highly desired; however, U.S. Citizens with the ability to obtain and maintain a Secret clearance will be considered. - Clearance Requirement: Position requires U.S. Citizenship and the ability to obtain a Secret security clearance. Continued employment is contingent upon successfully obtaining and maintaining the required clearance level. - Familiarity with cloud platforms (AWS, Azure, K8S, Docker, Openshift etc) and development frameworks (e.g., microservices, APIs). - Programming proficiency in Shell scripting (Bash/KSH) and Python - Familiarity with Machine Learning or Generative AI is highly desirable - Experience with graph data modeling, particularly in RDF for large enterprise environments. - Experience with Databricks or equivalent data stack is highly desirable - Basic understanding of software development, systems architecture, and design patterns. - Strong analytical and problem-solving skills with a willingness to learn and grow. - Excellent communication skills and the ability to collaborate effectively with team members and stakeholders. - A keen interest in technology and a passion for solution design and architecture. - Demonstrated experience working with a cross-functional and geographically dispersed team. - Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. ### Responsibilities Solution Design: - Design solutions based on business requirements and technical needs. - Support data modeling, ontology design, and schema development based on customer use cases. - Help in creating architecture diagrams, technical specifications, and documentation. - Assist in evaluating and recommending technologies and tools that align with project requirements. Collaborate with Teams: - Collaborate with cross-functional teams including software engineers, sales engineers, analysts, support engineers, project managers and customer success managers to ensure alignment on project goals and deliverables. - Participate in design and technical discussions to gain insights into solution architecture best practices. Technical implementation: - identifying technical challenges and issues with customer SMEs. - Help troubleshoot problems and find effective solutions during the design and implementation phases. - Support cloud-based implementations on AWS, Azure and GPC. - Assist in ETL processes, data source integration, and pipeline development to ingest customer data into the Stardog's knowledge graph platform. - Write and execute SPARQL queries, graph transformations, and data validation scripts to ensure accuracy and consistency. - Work closely with presales engineers to develop proof-of-value (POV) solutions. Learning and Development: - Continuously learn about new technologies, trends, and best practices in solution architecture and Knowledge Graphs. - Develop a solid understanding of data modeling and software development methodologies. Documentation: - Assist in maintaining technical documentation, including design documents, architecture diagrams, and implementation guides. - Ensure that all documentation is clear, accurate, and up to date.