The company is looking to build and maintain data pipelines, ensure data quality and reliability, and support operational reporting that drives decision-making across GTM teams. This role will partner closely with Data Engineering, Sales Analytics, RevOps, and Enablement to ensure data infrastructure and reporting workflows run efficiently, scale effectively, and deliver trusted insights.
Requirements
- Expertise in SQL and working with modern data warehouses (e.g. Databricks, Snowflake)
- Proficiency with ETL tools (e.g., Airflow, Databricks Workflows)
- Strong understanding of data warehousing principles, schema design, and data governance
- Proficiency with scripting languages such as Python, good code management practices, and version control systems (e.g. git)
- Familiarity with CRM or GTM systems (e.g., Salesforce, Forma)
- Ability to tackle complex technical problems with little direction, willing to quickly learn and understand new technologies
- Experience with data visualization tools (e.g., Tableau, Superset)
Responsibilities
- Design, build, and optimize robust data pipelines, datamarts, and self-serve platforms using workflow orchestration tools (e.g., Airflow) and SQL-based transformations, ensuring scalability and accessibility for analysts and dashboards.
- Develop thoughtful schema designs aligned with business needs to promote consistency, maintainability, and performance across systems.
- Ensure data quality and reliability by monitoring pipeline health, troubleshooting failures, implementing fixes, and maintaining timeliness of key reporting.
- Maintain strong data governance through up-to-date documentation, testing protocols, and compliance standards for critical datasets (e.g., pipeline, forecast, SFDC, compensation).
- Integrate and maintain Go-to-Market (GTM) systems data, ensuring comprehensive coverage, high integrity, and seamless cross-platform integration.
- Implement and scale GTM analytics processes (e.g., daily reporting, NLP models) and support adoption of platforms like UnitQ to continuously monitor and leverage customer feedback data.
- Work closely with Sales Ops, RevOps, and Enablement teams to translate business requirements into scalable data solutions.
Other
- 6-8 years of experience in a data-focused role (e.g., data analyst, analytics engineer, data ops, business intelligence)
- Strong communication and collaboration skills with cross-functional partners
- Strong attention to detail, curiosity, and a problem-solving mindset
- Desire to grow into a strategic data partner and own end-to-end workflows
- Excellent debugging and troubleshooting skills
