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Staff Data Engineer

Venice AI· Engineering
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Remotefull-timePosted 5d ago

About the role

Staff Database Engineer focused on architecture, data integrity, and scalable data infrastructure at Venice, enabling reliable, queryable, and trustworthy data across the organization. This is an individual contributor role with significant technical ownership.

Responsibilities

  • The architecture and evolution of Venice's data infrastructure.
  • Develop a deep understanding of existing databases, schemas, pipelines, and data dependencies.
  • Design scalable data models and schemas that make complex information intuitive and queryable.
  • Determine how data from different systems should be connected, normalized, and represented.
  • Identify architectural gaps and drive improvements across the data stack.
  • Establish systems that ensure data is accurate, complete, consistent, and explainable.
  • Build validation, reconciliation, testing, and monitoring into the data lifecycle.
  • Identify and eliminate conflicting definitions and duplicate sources of truth.
  • Establish canonical datasets and definitions for financial reports and critical business metrics.
  • Create clear data lineage so we understand where numbers originate and how they were calculated.
  • Operate in a high-throughput environment with a focus on SQL, Postgres, and scalable infrastructure.
  • Make data easily queryable for both analytical and operational use, with permissions and access controls.
  • Enable AI- and natural-language-based querying of company data.
  • Improve query performance and reliability; build intuitive schemas and documentation; support semantic and metrics layers.

Qualifications

  • Significant experience designing and operating data systems at scale.
  • Expert-level SQL and relational database knowledge with strong PostgreSQL focus.
  • Deep experience with data modeling, schema design, and database architecture.
  • Strong understanding of data integrity, quality, lineage, observability, and governance.
  • Experience establishing canonical datasets and company-wide metric definitions.
  • Strong understanding of database performance, indexing, optimization, and scalability.
  • Experience integrating data across complex product and business systems.
  • Ability to navigate an existing data environment, understand its evolution, and thoughtfully improve it without unnecessary rebuilding.
  • Strong technical judgment and architectural decision-making with incomplete information.
  • Ability to communicate complex data concepts clearly to technical and non-technical stakeholders.
  • High ownership and comfort operating with significant autonomy.

Skills

Required:SQLData ModelingData Quality & GovernanceData ArchitectureCommunication

Benefits

  • Not specified in the description.
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Venice AI

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