Technical Onboarding Consultant, Stardog
More information about location
AI data assistant for enterprise companies
Open for applications
AI data assistant for enterprise companies
21-100 employees
Open for applications
More information about location
21-100 employees
Company mission
To empower every data citizen to make knowledge-informed decisions.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Leading Enterprise Knowledge Graph platform, Stardog, turns data into knowledge to power more effective digital transformations; by making real-world context machine-understandable, the company facilitates enterprise data integration and unification.
Stardog works side-by-side with a company’s existing stack to accelerate insights from data lakes, data warehouses, or any enterprise data source with up to 320% ROI (according to a commissioned Forrester Consulting Study). And the company has several major enterprises using its software, including NASA, Boehringer Ingelheim, and Schneider Electric.
The fast-growing company is venture-backed and has been investing in hiring and further development of new products. Its game-changing approach to data integration and analytics acceleration ensures enterprises have access to a reusable semantic data layer, but also provides mainstream data citizens with the power to build and use a semantic layer for the first time. With a solid foundation, Stardog is well set to see continued growth as its rapidly expanding customer base increases demand for its product.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
May 2020
$3m
SERIES B
Oct 2019
$9m
SERIES B
Total funding: $17.7m
Company HQ
Chelsea, New York, NY
Leadership
Kendall Clark
(Co-Founder & CEO)Founder & former CEO of Complexible. Previously worked as the Managing Editor of O'Reilly's XML site.
Michael Grove
(Co-Founder & SVP Engineering & Information Security)Held several roles at the company prior to SVP, including VO of Engineering and Senior Software Engineer. Former COO of Lightening Round Entertainment.
Evren Sirin
(Co-Founder & CTO)Former Senior Researcher at Complexible Inc. Received their PhD in Computer Science from the University of Maryland.
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