Join ourDigital Technology Enterprise Solution Architectureunit atAnimal Nutrition Healthand help shape the future of data architecture across the enterprise. We are seeking a seasonedEnterprise Data Architectwho will also serve as aData Domain Architect, driving strategic data initiatives, governance, and innovation across our global data landscape.

This role will be instrumental in designing and evolving enterprise-wide data architecture, enabling advanced analytics, AI/ML capabilities, and ensuring data integrity, security, and compliance across platforms.

Your key responsibilities:

- Enterprise Data Architecture Leadership: Define and evolve enterprise data architecture strategy, frameworks, standards, operating models, and ownership of data catalog, lineage, and metadata aligned with business and IT goals.
- Domain Data Architecture: Act as domain architect across key business areas, designing business-aligned data models, semantic layers, KPIs, and reusable data products while driving data maturity and MDM adoption.
- Data Platform Integration: Architect scalable, resilient data platforms and ingestion pipelines (batch/streaming) using Kafka, Informatica, Databricks, APIs, and cloud-native services to meet SLAs for availability, quality, and performance.
- Governance, Security DevOps: Establish data governance, security, and compliance standards; implement CI/CD, Infrastructure as Code, and DataOps practices to ensure quality, consistency, and secure delivery of data products.
- Cost Optimization FinOps: Drive cloud FinOps best practices by designing cost-efficient data pipelines and platforms, monitoring usage,



and optimizing resource consumption through serverless and reserved capacity models.
- Innovation Stakeholder Enablement: Enable advanced analytics and AI/ML use cases, lead innovation pilots and PoCs, provide architectural oversight, and mentor teams while partnering closely with business and technology stakeholders.

You bring:

- Cloud Data Architecture Mesh: Design and lead a decentralized Cloud Data Mesh on AWS, integrating legacy enterprise systems (e.g., SAP S/4HANA, BW/4HANA) with cloud-native data platforms such as Databricks and Informatica.
- Data Governance, Security MDM: Implement robust governance, security, and metadata frameworks using Databricks Unity Catalog, AWS IAM, and Informatica MDM to enable access control, privacy, lineage, discovery, and trusted master data.
- End-to-End Data Lifecycle Expertise: Demonstrate deep expertise across the full data lifecyclefrom ingestion (SAP ingestion tools, low-code/no-code), transformation (Spark), to consumption via APIs and analytics platforms.
- Integration, Streaming Platforms: Architect scalable batch and streaming data pipelines and enterprise integration patterns for complex ecosystems including SAP, CRM platforms, and modern data platforms (Databricks, Informatica; Palantir preferred).
- DataOps, DevOps Cloud Enablement: Drive architectural adoption through DataOps practices, CI/CD pipelines, Infrastructure-as-Code (Terraform), and cloud-native DevOps to ensure automation, scalability, and agility on AWS.
- Leadership Experience: Bring 17+ years of enterprise data architecture and domain modeling experience, robust stakeholder leadership and communication skills, and a Bachelors/Masters degree in Computer Science, Data Engineering, or a related field.

📌 Director Platform/Enterprise Architect Data & AI (Hyderabad)
🏢 DSM Firmenich
📍 Hyderabad