In this role, you will:

• Data Infrastructure Development: Design, build, and manage data models within Snowflake to support efficient data integration, transformation, and analysis.
• dbt Implementation: Develop and oversee dbt projects to create reliable and scalable data transformations. Implement and maintain dbt models, tests, and macros.
• GTM Analytics: Collaborate with GTM teams to analyze sales performance, marketing effectiveness, and customer acquisition metrics. Assist in the development of dashboards and reports that support GTM strategies and optimize market outreach.
• Product Analytics: Work with product teams to analyze product usage, feature adoption, and user behavior. Create insights and recommendations that drive product improvements and strategic decisions.
• Revenue Analytics: Partner with finance and revenue teams to build financial models, track revenue metrics, and analyze trends. Provide data-driven insights to optimize revenue strategies and performance.
• Performance Optimization: Continuously monitor and optimize Snowflake queries and dbt transformations to ensure high performance, scalability, and cost efficiency.
• Data Quality and Governance: Implement data quality checks, validation, and governance practices to maintain data accuracy and consistency across systems.
• Cross-Functional Collaboration: Act as a liaison between data engineering, GTM, product, and finance analytics teams. Understand their data needs and provide tailored analytics solutions.
• Documentation and Training: Develop comprehensive documentation for data pipelines, dbt models, and analytics processes. Provide training and support to team members on best practices and tools.
• Innovation: Stay current with industry trends and advancements in data engineering. Propose and implement improvements to enhance data systems and analytics capabilities.

About you:

• Experience: Minimum of 5 years of experience in data engineering or analytics engineering, with a strong focus on Snowflake and dbt. Proven experience supporting Go-To-Market strategies, product analytics, and revenue optimization.
• Technical Skills: Advanced proficiency in Snowflake, including SQL and Snowflake architecture. Expertise in dbt, including model development, testing, and deployment.
• GTM Experience: Demonstrated ability to use data to drive Go-To-Market strategies, including analyzing sales performance, marketing effectiveness, and customer insights.
• Product Analytics: Experience in evaluating product performance, user behavior, and feature usage to inform product development and strategy.
• Revenue Analysis: Knowledge of revenue modeling, forecasting, and analysis. Ability to interpret financial data and provide insights to enhance revenue strategies.
• Data Modeling: Strong skills in data modeling and designing scalable data solutions.
• Programming: Proficiency in SQL and familiarity with other programming languages (e.g., Python) for data processing and automation.
• Analytical Skills: Exceptional problem-solving skills with the ability to tackle complex data issues and provide actionable insights.
• Communication: Excellent communication skills with the ability to present technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field preferred.