Data Architect

Job Role- Data Atchitect

Location- Chicago, US (preferred but no restriction for good candidate)

We are seeking a Data Architect with strong experience in Microsoft Azure, PostgreSQL with Apache AGE, graph databases, and knowledge graph development. The role will design enterprise data platforms and build AI agent solutions, applying the AI-driven development lifecycle (AI-DLC) from requirements through deployment.

Key Responsibilities

• Design scalable data architectures on Azure to support operational applications, analytics, knowledge graphs, and AI agents.
• Architect and implement graph solutions using PostgreSQL with Apache AGE, integrating relational data and graph relationships.
• Evaluate PostgreSQL with Apache AGE against platforms such as Azure Cosmos DB and Neo4j, assessing suitability, performance, scalability, operational complexity, and cost.
• Build and maintain knowledge graphs, including ontology design, entity resolution, relationship modeling, data provenance, and graph enrichment.
• Develop ingestion and transformation pipelines that combine structured and unstructured data from enterprise sources.
• Design and build AI agents that use enterprise data, knowledge graphs, APIs, and tools to complete business workflows.
• Apply AI-DLC practices across requirements, architecture, implementation, testing, deployment, and ongoing improvement.
• Establish standards for data quality, governance, lineage, security, and access control.
• Collaborate with business stakeholders, data engineers, data scientists, and application teams; produce architecture diagrams, technical designs, and implementation roadmaps.

Required Qualifications

• Demonstrated experience in enterprise data architecture, data modeling, and data integration.
• Hands-on experience designing and delivering data platforms on Microsoft Azure, using relevant services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure SQL, and Azure Cosmos DB.
• Strong practical experience with PostgreSQL and Apache AGE, including graph modeling, SQL and Cypher queries, indexing, and performance optimization.
• Proven experience building knowledge graphs, including entity and relationship extraction, schema design, ontology management, and integration with downstream applications.
• Experience evaluating graph database technologies and explaining architectural trade-offs.
• Fluency in AI-DLC, with practical experience applying AI-assisted workflows throughout software delivery.
• Hands-on experience building AI agents, including tool integration, orchestration, context management, evaluation, and observability.
• Strong Python and SQL skills, with the ability to communicate architectural decisions clearly to technical and business audiences.