• Develop interfaces from wireframes • Create responsive interfaces • Collaborate with the team on project development

• Cloud native data integration using Azure Data Factory and Synapse pipelines • Strong working experience with various Azure cloud services such as Storage, Compute, Databases, Web, Integration, Security, Identity, Migration, DevOps • Strong programming skills in either C#, Python or TypeScript • Understanding of legacy integration tools and frameworks, such as Microsoft SSIS • Able to write complex and performance oriented sql queries, stored procedures • Experience with cloud and on-premises applications and data sources • Familiarity with data formats and protocols – REST, SOAP, JSON, XML, HTTP, FTP • Excellent verbal and written communication skills • Azure certifications is a plus

• Build and maintain stable, scalable foundational services that can be leveraged by other engineering teams, based off solid architectural principles and cross-team collaboration. • Collaborate with many internal partners and product teams to influence the design of our API surface • Design and develop reliable, secure, highly available and delightful experiences for both customer personas: the dbt Cloud admin and the end user. • Collaborate with Product Management, UX designers, Security, and Customer Support. • Work with a variety of programming languages, systems, and technologies, including: Python (Django), Go, React, Postgres, Kubernetes, AWS, Terraform and Datadog.

• Prototype apt technical solutions and find best fits for the context engine • Architect and build the core Context Platform • Design schemas and primitives for Decision Memory and enterprise context • Own context storage systems (graph, vector, event/time-based) • Build read/write/query APIs used by agents, products, and external apps • Design permission-aware, auditable context access • Ensure the context engine is interoperable, portable, and zero-lock-in by design • Partner closely with agentic systems engineers and product leadership