Job highlights

- Develop integration patterns for real-time,batch,and near-real-time data movement across cloud and hybrid environments .
- Required Skills

Job Summary We are seeking a visionary and hands-on Enterprise Data Integration Architect to join our Integration Architecture team and serve as the dedicated integration representative to partner with the Data AI organization. This role is pivotal in shaping and executing our enterprise-wide integration strategy for data and AI initiatives, leveraging cutting-edge technologies and cloud-native platforms on AWS and/or Azure. The ideal candidate will have deep experience in designing and implementing scalable, secure, and high-performance integration architectures in partnership with the Enterprise Data Solution Architects to enable advanced analytics, machine learning, and AI capabilities.

You will collaborate closely with data architects, data engineers, data scientists, and enterprise architects to ensure seamless data flow across systems, domains, and platforms.

Responsibilities

- Define and drive the integration strategy for data and AI initiatives across the enterprise
- Partner with Data AI leadership to align integration architecture with business goals and data strategies
- Evaluate and recommend up-to-date integration technologies and patterns (e.g., event-driven, API-led, streaming, data mesh)
- Partner with regional teams in defining and designing integration patterns and architectures
- Design scalable, secure,



and resilient integration architectures on AWS and/or Azure using services such as Glue, Lambda, Kinesis, S3, Redshift, and others
- Develop integration patterns for real-time, batch, and near-real-time data movement across cloud and hybrid environments
- Ensure data lineage, governance, and observability are embedded in integration designs
- Act as the primary liaison between the Integration and Data/AI teams, ensuring alignment and shared understanding
- Mentor and guide integration developers on best practices
- Collaborate with enterprise architects to ensure consistency across platforms and domains
- Stay abreast of emerging trends in data integration, AI, and cloud technologies
- Lead proof-of-concept initiatives to evaluate new tools and methodologies
- Contribute to the development of reusable integration assets and frameworks

Required Skills

- AWS data and integration services (Glue, Kinesis, Lambda, EventBridge, S3, Redshift)

- Azure cloud services
- Data lineage, governance, and observability
- Real-time data integration
- AI agents / LLM integration via APIs
- Agent frameworks and orchestration patterns
- Data mesh and data lakehouse
- RAG architectures, vector database and embeddings
- Prompt management, tool calling, and agent workflows

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr. Architect, AI Data Integration (Bengaluru)
🏢 Vantive Healthcare Technologies
📍 Bengaluru