AI Data Architect
Congregate Technologies
65 LPA
Location: Hyderabad
Posted: February 10, 2026
Posted By: System Administrator
Job Description
AI Data Architect
InvoiceCloud
Hyderabad, India
Employment Type: Full-Time
Exp-10 to 15 yrs
Role Summary
The AI Data Architect is responsible for designing, evolving, and governing InvoiceCloud’s production data ecosystem to ensure it is secure, scalable, and optimized for current and future AI-driven use cases. This role focuses on making our Azure-hosted production data fully AI-ready, while evaluating and recommending the best Azure-native and complementary technologies to enable advanced analytics, machine learning, and generative AI capabilities.
What Success Looks Like
Success in this role means InvoiceCloud’s data is trusted, discoverable, well-modeled, and performant for AI consumption. AI teams and product engineers can confidently leverage production data without excessive preprocessing, data quality issues, or architectural constraints. Data pipelines, storage patterns, and search/indexing strategies are intentionally designed to support evolving AI workloads while maintaining operational excellence, security, and compliance.
Key Responsibilities
• Design and evolve enterprise data architectures that support AI, analytics, and search workloads.
• Ensure Azure SQL DB schemas, indexing strategies, and data models are optimized for AI and feature generation.
• Evaluate and recommend appropriate Azure services and patterns to enable AI data usage.
• Design data access and synchronization strategies across relational, NoSQL, and search platforms.
• Establish data quality, governance, lineage, and lifecycle standards.
• Collaborate with engineering, product, and security teams to align data architecture with AI initiatives.
• Document architecture decisions, data flows, and operational standards.
Required Skills & Experience
• Strong expertise with Microsoft SQL Server and Azure SQL Database.
• Advanced T-SQL, data modeling, and query optimization skills.
• Experience designing data architectures for AI and analytics workloads.
• Strong understanding of Azure data services and cloud-native architectures.
• Excellent communication and collaboration skills.
InvoiceCloud
Hyderabad, India
Employment Type: Full-Time
Exp-10 to 15 yrs
Role Summary
The AI Data Architect is responsible for designing, evolving, and governing InvoiceCloud’s production data ecosystem to ensure it is secure, scalable, and optimized for current and future AI-driven use cases. This role focuses on making our Azure-hosted production data fully AI-ready, while evaluating and recommending the best Azure-native and complementary technologies to enable advanced analytics, machine learning, and generative AI capabilities.
What Success Looks Like
Success in this role means InvoiceCloud’s data is trusted, discoverable, well-modeled, and performant for AI consumption. AI teams and product engineers can confidently leverage production data without excessive preprocessing, data quality issues, or architectural constraints. Data pipelines, storage patterns, and search/indexing strategies are intentionally designed to support evolving AI workloads while maintaining operational excellence, security, and compliance.
Key Responsibilities
• Design and evolve enterprise data architectures that support AI, analytics, and search workloads.
• Ensure Azure SQL DB schemas, indexing strategies, and data models are optimized for AI and feature generation.
• Evaluate and recommend appropriate Azure services and patterns to enable AI data usage.
• Design data access and synchronization strategies across relational, NoSQL, and search platforms.
• Establish data quality, governance, lineage, and lifecycle standards.
• Collaborate with engineering, product, and security teams to align data architecture with AI initiatives.
• Document architecture decisions, data flows, and operational standards.
Required Skills & Experience
• Strong expertise with Microsoft SQL Server and Azure SQL Database.
• Advanced T-SQL, data modeling, and query optimization skills.
• Experience designing data architectures for AI and analytics workloads.
• Strong understanding of Azure data services and cloud-native architectures.
• Excellent communication and collaboration skills.
Application Stats
Total Applications: 0
Posted: Feb 10, 2026