Senior Data Architect

Overview

As a Senior Data Architect, you will define the data foundation of Esko's next-generation cloud platform. You will shape how data is modeled, stored, distributed, connected, governed, and accessed across cloud-native products and shared platform services.

What you'll do

• Define data architecture and modeling patterns for a scalable, secure, multi-tenant cloud platform supporting multiple products and thousands of customers.
• Establish patterns for data ownership, domain boundaries, data access, consistency, distribution, lifecycle, and evolution across products and services.
• Define architecture across relational, NoSQL, graph, search, and distributed data technologies, selecting appropriate technologies and patterns based on application and domain requirements.
• Develop knowledge and semantic architecture, including knowledge graphs, ontologies, domain models, entity relationships, and semantic models that connect information across product domains.
• Define patterns for sharing data across services and products through APIs and events while maintaining clear ownership, security, tenant isolation, and appropriate consistency.
• Shape the data foundation for AI-enabled products and agents, enabling reliable access to trusted, contextual, and semantically connected information.
• Spend up to 50% of your time hands-on developing foundational components, critical software modules, prototypes, and reference implementations.
• Establish data architecture standards and guide technical decisions across product, platform, and AI engineering teams.

What you'll need

• 15+ years of experience designing and building enterprise software, SaaS products, data-intensive applications, or large-scale data platforms.
• Deep expertise in data architecture and data modeling, including domain modeling, schema design, data ownership, data access patterns, consistency, and lifecycle management.
• Strong experience with relational and NoSQL databases, including technologies such as PostgreSQL and DynamoDB.
• Experience designing graph-based architectures, knowledge graphs, semantic models, ontologies, or complex entity-relationship models.
• Strong understanding of distributed data systems, including partitioning, replication, consistency, availability, scalability, and failure scenarios.
• Experience designing data architectures for multi-tenant, cloud-native applications on AWS.
• Experience defining data contracts and data exchange patterns across APIs, events, and distributed services.
• Strong understanding of data security, authorization, tenant isolation, governance, and privacy.
• Strong technical leadership and communication skills, with the ability to influence engineers, architects, product leaders, and domain experts.

Nice to have

• Experience designing data foundations supporting AI-enabled products, agents, intelligent search, or retrieval-based applications.
• Experience leading significant data architecture modernization or platform transformation initiatives.
• Experience with graph databases, vector databases, search technologies, embeddings, or semantic retrieval architectures.
• Experience with complex product/data domains, particularly consumer goods, life sciences, manufacturing, or other regulated industries.

Details

• Location: Bangalore, Karnataka, India.
• Function: Engineering / Cloud Platform.
• Reports to: Sr. Director, Cloud Platform.
• Spend up to 50% of your time hands-on.