Jr. Solution Architect

Overview: 

We are looking for a motivated and skilled Jr 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, chat, and PR where it's harder to get your point across.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
• Minimum of 2 years experience working with data operations for enterprises, especially supporting RDF, ETL (Nifi), SQL (DB2, Oracle, etc.) and/or Databricks
• 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.
• 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.
• Relevant certifications (e.g., AWS, Azure, Kubernetes) are a plus.
• US work authorization required.

• Assist in Solution Design:

• Work with senior architects to 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:

• Provide support to senior architects in identifying technical challenges and issues.
• 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-concept (POC) and 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.
• Requirements:
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
• Minimum of 2 years experience working with data operations for enterprises, especially supporting RDF, ETL (Nifi), SQL (DB2, Oracle, etc.) and/or Databricks
• 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.
• 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.
• Relevant certifications (e.g., AWS, Azure, Kubernetes) are a plus.