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Senior Data Architect

Esko
Bengaluru, IND
Full-time
Senior · 15+ years experience
Onsite
Discovered 2 weeks ago
awsdynamodbpostgresql

Full Job Posting

What You Will 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.
  • Build critical platform capabilities. 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.

Required Experience

  • 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.
  • Preferred Experience
  • 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
  • What Does Success Look Like
  • In this role, success means:
  • Teams have clear and reusable patterns for modeling, storing, accessing, sharing, and evolving data across cloud-native applications.
  • Data ownership and domain boundaries are clearly defined, reducing duplication and unnecessary coupling between products and services.
  • Esko establishes a strong semantic and knowledge architecture that connects information across complex product domains.
  • Cloud applications and AI-powered experiences can reliably access trusted, contextual, and well-structured data.
  • Critical data architecture decisions are translated into practical implementations and reusable patterns, not just conceptual models.
  • You become a trusted technical partner who can move effectively between data architecture, technology, and business strategy.
  • At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
  • Unsolicited Assistance
  • We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

Preferred Qualifications

  • Preferred Experience

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