Responsibilities

- Design, develop, and maintain data architectures and models specifically leveraging graph database technologies (e.g., Neo4j, Amazon Neptune, TigerGraph).

- Collaborate with data scientists, data engineers, and domain experts to understand data requirements and translate them into scalable graph data models and solutions.

- Develop ETL/ELT processes for ingesting, transforming, and loading data into graph databases, ensuring data integrity, quality, and consistency.

- Optimize data storage and retrieval for performance, query efficiency, and scalability in graph environments.

- Implement data governance and security best practices in accordance with organizational policies.

- Analyze complex datasets to identify relationships and create knowledge graphs that support insights and innovation.

- Ensure seamless integration with other data platforms, APIs, and services within the overall data ecosystem.

- Provide technical leadership, documentation, and standards for graph data architecture.

- Stay updated with the latest trends and advancements in graph technology and data architecture.

Required Skills and Qualifications

- Proven experience as a Data Architect, Data Engineer, or in a similar role with a focus on graph databases.

- Experience with .NET development. (Must have)

- PowerBI and Databricks knowledge (Nice to have)





- Exposure to Azure DevOps.

- Hands-on experience designing and deploying knowledge graphs and graph data models.

- Strong proficiency in graph query languages such as Cypher, Gremlin, or SPARQL.

- In-depth knowledge of graph database platforms (Neo4j, Amazon Neptune, TigerGraph, etc.).

- Solid understanding of data modeling concepts, relational and NoSQL databases.

- Experience designing ETL pipelines and data workflows for graph-based systems.

- Proficiency in programming languages such as Python, Java, or Scala used for data processing.

- Familiarity with cloud platforms and services (AWS, Azure, GCP) relevant to data architecture.

- Understanding of data governance, metadata management, and security protocols.

- Excellent problem-solving skills and ability to work collaboratively in cross-functional teams.

- Solid communication skills to convey technical concepts to both technical and non-technical stakeholders.

Preferred

- Experience with Semantic Web technologies and standards (RDF, OWL, Linked Data).

- Knowledge of AI/ML applications leveraging graph data.

- Background in knowledge management, knowledge graphs, or ontologies.

- Familiarity with containerization and orchestration tools (Docker, Kubernetes).

📌 Data Architect (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru