Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management.
Architect dbt Foundations: Lead the development of our dbt project, establishing standards for modeling, testing, documentation, and CI/CD pipelines.
Bridge Global Teams: Act as the primary technical point of contact between North American leadership and India-based resources, ensuring seamless requirement translation and project execution across time zones.
Operationalize AI: Integrate AI-assisted development (Claude Code, LLMs) into the workflow to automate boilerplate tasks and accelerate time-to-value for new data products.
Transform GTM Data: Replace and enhance the 'Warehouse-First' models, centralizing data from Salesforce, product usage, and marketing tools into a unified, clean source of truth.
Ensure Data Integrity: Establish and own data quality monitoring, observability, and alerting frameworks to ensure business-critical dashboards remain reliable and accurate.

5-7+ years of experience in Data Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale.
Mastery of Snowflake architecture, administration, and performance optimization.
Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management.
Demonstrated success working within a distributed team, specifically coordinating between Western Europe, North America, and India.
Fluent in version control (Git), SQL, and Python, with a strong focus on building maintainable, 'code-first' data solutions.
Experience (or high comfort level) using Claude Code and other AI development tools to enhance productivity and code quality.
Understanding of SaaS metrics and Go-To-Market data flows (Salesforce, Marketo, Revenue Ops) is highly preferred.
Native or near-native English fluency, with the ability to explain technical debt, architectural trade-offs, and data lineage to non-technical leaders.

Data Analytics Architect

Key skills