2 days ago
Prague, CzechiaSenior
Responsibilities
- Define data architecture and modeling patterns for a secure, scalable, multi-tenant cloud platform.
- Establish patterns for data ownership, domain boundaries, access, consistency, distribution, lifecycle, and evolution.
- Select and define architectures across relational, NoSQL, graph, search, and distributed data technologies.
- Develop knowledge and semantic architecture, including knowledge graphs, ontologies, domain models, entity relationships, and semantic models.
- Define data-sharing patterns across APIs, events, and distributed services while maintaining ownership, security, tenant isolation, and appropriate consistency.
- Shape the data foundation for AI-enabled products and agents, including trusted and semantically connected information access.
- Spend up to 50% of the time building foundational components, software modules, prototypes, and reference implementations.
- Establish data architecture standards and guide decisions across product, platform, and AI engineering teams.
Requirements
- 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 modeling, including domain modeling, schema design, data ownership, access patterns, consistency, and lifecycle management.
- Strong experience with relational and NoSQL databases, including PostgreSQL and DynamoDB.
- Experience with 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 with data foundations for AI-enabled products, agents, intelligent search, or retrieval-based applications.
- Preferred experience leading significant data architecture modernization or platform transformation initiatives.
- Preferred experience with graph databases, vector databases, search technologies, embeddings, or semantic retrieval architectures.
- Experience with complex product and data domains, particularly consumer goods, life sciences, manufacturing, or other regulated industries.
Tech Stack
Categories
Data Engineering
About Veralto
Veralto builds water analytics, treatment, and compliance solutions and product identification and color management systems for industrial, consumer goods, pharmaceutical, and municipal customers. Formed in 2023 as a spin‑off from Danaher, it operates brands including Hach, ChemTreat, Trojan Technologies, Videojet, Esko, X‑Rite, and Pantone. Veralto is headquartered in Waltham, Massachusetts, and is a publicly traded company on the NYSE under the ticker VLTO.