The Jr Solution Architect will design and implement technology solutions, collaborate with teams, support data modeling, and assist in technical challenges while continuously learning about new technologies.
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, Stardog is a fast-growing venture-backed company with a globally distributed team.
Overview:
We are looking for a motivated and skilled Technical Onboarding Consultant 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.
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.
- 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
- 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.
Stardog is proud to be an Equal Employment Opportunity Employer. Individuals seeking employment at Stardog are considered without regard to race, color, religion, sex, age, national origin, disability, veteran status or any other characteristic protected by law.
Top Skills
AWS
Azure
Databricks
Docker
Etl (Nifi)
Generative Ai
K8S
Machine Learning
Openshift
Oracle)
Python
Rdf
Shell Scripting (Bash/Ksh)
Sql (Db2
Similar Jobs
.png)
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead the design and implementation of Evidence Collection and Compliance automation systems, collaborating with teams to enhance system reliability and adhere to regulatory standards.
Top Skills:
AWSCi/CdCircleCICloudFormationEc2Gitlab CiIamJenkinsLambdaPythonRdsS3ServerlessTerraform
Information Technology • Software
The candidate will lead the design and development of embedded systems for radiation detection, collaborating with cross-functional teams and mentoring junior engineers.
Top Skills:
CContinuous DevelopmentContinuous IntegrationEmbedded SystemsFpga DesignHardware-Software IntegrationJavaMicrocontroller ProgrammingPythonReal Time Operating Systems
Artificial Intelligence • Healthtech • Analytics • Biotech
The Field Engineer I will perform installations, troubleshooting, and repairs on medical equipment, assist senior engineers, and manage customer relations.
Top Skills:
Active DirectoryInformation TechnologyMicrosoft CertificationsNetworkingSQL Server
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
