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Tech Stack
Tools & technologiesCloudGoPythonSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- health and wellness programs
- paid time off
- retirement planning options
ATS Keywords
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Hard Skills & Tools
SnowflakedbtSQLPythonAI-assisted developmentperformance optimizationdata quality monitoringCI/CD pipelinesRBAC security modelingcost optimization
Soft Skills
communicationcollaborationleadershiprequirement translationproject executionteam coordinationproblem-solvingadaptabilitytechnical explanationcross-cultural communication