
The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.
Work you’ll do
1. Design and develop scalable and efficient knowledge graph architectures.
2. Implement knowledge graph integration with existing data systems and business processes.
3. Lead the ontology design, data modeling, and schema development for knowledge representation.
4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.
5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.
6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.
7. Develop and maintain documentation and specifications for system architectures and designs.
8. Stay updated with the latest industry trends in knowledge graph technologies and data management.
The Team
Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.
It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.
I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.
Qualifications and Experience
Required:
1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.
3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).
4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.
5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).
6. Excellent analytical and problem-solving abilities.
7. Strong communication and collaboration skills to work effectively across teams.
Preferred:
1. Experience with machine learning and natural language processing.
2. Experience with Industry 4.0 technologies and principles
3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.
4. Experience with containerization technologies like Docker and Kubernetes

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𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
𝟏) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
𝟐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
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𝟒) Expertise in RNN, LSTM, and other neural network architectures.
𝟓) DL frameworks: Tensorflow, Pytorch, Keras
𝟔) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
𝟕) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
𝟖) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐮𝐬?
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𝟐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
𝟑) We offer flexibility to choose your tools, methods, and ways to collaborate.
𝟒) We always value and believe in new ideas and encourage creative thinking.
𝟓) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
𝟔) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
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Ready to join a thriving tech company that’s redefining digital archiving and business intelligence?
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Our motto is ‘People First. Inspire Confidence. Embrace the Impossible.’ We hire lifelong learners who have a passion for their discipline and a track record of excellence. To learn more about us, visit www.smarsh.com/careers












