Unqork

Data Engineer

• Report to our Engineering Manager
• Define and own the long-term data architecture strategy for Unqork's core platform, covering data modeling, query design, storage topology, and access patterns across a complex data environment that includes MongoDB as well as integration with Relational and Columnar database models
• Ensure the data layer meets the security, performance, scalability, and resilience requirements of enterprise-grade, mission-critical applications.
• Evaluate and recommend the right database technologies, indexing strategies, caching layers, ETL and search infrastructure for each class of workload — including when to use MongoDB Atlas Search, Caching (e.g., Redis), Querying (e.g., Kafka) and Streaming components
• Own the end-to-end solutions around data transfers using solutions like ETL for customers.
• Own the data architecture for Unqork's AI-driven development layer — defining persistence, versioning, and query standards for AI-generated configurations.
• Lead the design of declarative data models and schemas that enable non-technical users to build complex logic while maintaining strict data integrity.
• Define the architectural boundary between database-layer computation (aggregation pipelines, indexing) and application-layer computation (Node.js post-processing, in-memory caching), and establish standards for which work belongs where.
• Create and maintain comprehensive documentation including data architecture blueprints, indexing governance policies, query standards, and migration playbooks.
• Own capacity planning and cost modeling for data infrastructure resources as Unqork scales.
• Mentor and grow a team of data engineers and database engineers responsible for the health and performance of Unqork's data platform.
• Establish data modeling best practices and enforce standardization across all environments — including schema conventions, index lifecycle management, and pagination contract design.
• Oversee the design and operation of Unqork's database infrastructure — defining thresholds, coverage policies, write amplification limits, and manual override processes.
• Drive data operational excellence by implementing and refining query performance monitoring, slow query alerting, explain plan review processes, and incident response playbooks for database degradation events.
• Define and enforce data access governance — including RBAC data model standards, cache TTL policies, and the rules under which eventual consistency is acceptable vs. when strong consistency is required.
• Comply with security regulations while working on data designs and patterns for Unqork platform.
• Partner with Product to translate product requirements into data model decisions, and identify where relaxing a product constraint unlocks a disproportionate architectural improvement.

Principal Data Architect

Product Manager

• Partner to Define the Data Vision: Collaborate deeply with Data Engineering, Tech Leads, Product peers, and CX to co-create the mental model for how data is handled within our platform, from project structure to complex service integrations.
• Synthesize Customer & Internal Insights: Act as a bridge between our most sophisticated customers and our internal teams, translating high-level business requirements into usable, scalable data abstractions.
• Drive AI-Native Innovation: Work cross-functionally to design AI-native data interactions where natural language serves as a primary control surface for generating data models and troubleshooting workflows.
• Champion Governance & Compliance: In partnership with our security and legal teams, ensure data systems are inspectable and governable, specifically catering to the needs of enterprise-grade software in highly regulated environments.
• Facilitate Technical Success: Support technical architects and software creators by removing friction in the "planning → building → testing" lifecycle, ensuring our data tools align with real-world developer workflows.

Principal Data Architect

Senior Product Manager – Data Experience