Data Architect

Job Title: Data Architect
Location:  Tampa, FL- 100% ONSITE
Experience: 14+
Job Type: Long Term Contract

Visa Only : (H1B and Gc EAD and H4EAD with PPN and USC)

Job Description:
We are seeking an experienced Data Architect / Engineer with expertise in Graph DB experience and ideally knowledge of Graph RAG patterns and Ontology including OWL to join our team and support on the development and implementation of a knowledge repository platform. In this role, you will design, build, and optimize data architectures that enable robust, scalable, and efficient knowledge of representation and discovery across complex, interconnected datasets.
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.
* Strong 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).