Sr. Spclst , DnA Integration Architecture - Agentic and Interoperability
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Responsibilities
- Design interoperable frameworks connecting platforms such as Databricks, DataIKU, DBT, Kafka, Collibra, Power BI, and Immuta.
- Establish integration-first principles and reusable patterns to support cross-platform data and analytics consumption.
- Architect frameworks to integrate AI agents and MCP tools with enterprise data platforms.
- Define API contracts, SDK patterns, and agent interaction layers to enable scalable agent-driven data access and orchestration.
- Enable multi-channel consumption (agents, decision systems, dashboards, applications).
- Ensure seamless interoperability across data engineering platforms (Databricks, DBT), ML/AI platforms (DataIKU), streaming (Kafka), governance (Collibra, Immuta), and visualization (Power BI).
- Define standards for data exchange, schema evolution, metadata propagation, and lineage tracking.
- Design and oversee event-driven architectures using Kafka and streaming frameworks.
- Enable hybrid architectures supporting both real-time data flows and batch-oriented pipelines.
- Optimize performance, scalability, and resiliency across integration layers.
- Integrate data governance, access control, and policy enforcement into architecture (Collibra, Immuta).
- Ensure all integrations align with enterprise standards for data security, privacy, and compliance.
- Support trusted data delivery for AI/agent consumption.
- Collaborate with product, engineering, and platform teams to align architecture with business goals.
- Provide hands-on technical leadership, design reviews, and architecture governance.
- Drive POCs/POVs to evaluate emerging tools and integration approaches.
- Stay ahead of trends in agentic AI and automation, data mesh/data fabric architectures, and MCP and API-driven ecosystems.
- Define and evolve reference architectures and blueprints for enterprise adoption.
Requirements
- Required
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Minimum 6+ years of architecture experience in data integration (real-time and batch) and distributed data systems and cloud platforms.
- Proven experience designing end-to-end data architecture solutions.
- Strong experience with Databricks, DataIKU, DBT, Kafka, Collibra, Immuta, and Power BI.
- Expertise in API-led integration and microservices-based architecture, event-driven and streaming architectures, and data modeling, lineage, and metadata management.
- Experience integrating AI/ML platforms with data ecosystems.
- Preferred
- Experien
Benefits
Additional Information
Job Description Sr. Spclst , DnA Integration Architecture - Agentic and Interoperability Opportunity: - Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. - Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. - Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech CenteThe Lab Integration Platform is a critical enabler of digital transformation strategy, supporting secure, compliant, and efficient data exchange across laboratory systems. Strategy & Architecture Integration Architect We are seeking a highly skilled Strategy & Architecture Integration Architect to join our CDNA (Central Data & Analytics) team. At our company, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. This role will be responsible for defining and driving integration-first, agent-enabled architecture across enterprise Data & Analytics platforms. If you are passionate about enabling interoperability between data platforms, AI agents, and MCP tools, and ensuring seamless data flow, governed access, and scalable consumption, we invite you to join our team.
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