Salesforce Data Architect designing and optimizing enterprise - grade data architectures across Salesforce platforms. Collaborating with team members to ensure data quality and readiness for analytics.
About the role
- Senior Data Engineer at Thumbtack, designing core marketplace datasets and integrating data solutions across teams. Focused on building data products from various internal and external sources.
Responsibilities
- Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams
- Design, architect, and maintain core marketplace datasets, data marts, and feature stores that support a blend of mature products and features with a rapidly evolving product line, in partnership with analytics, data science, and machine learning
- Integrate with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout Thumbtack to understand their data needs, and help design datasets with the same engineering rigor as any other software we design
- Drive data quality and best practices across different business areas
- Help build the next generation data products at Thumbtack, based on real-time data products on top of Apache Kafka
Requirements
- 4 or more years of experience designing and building data sets and warehouses
- Excellent ability to understand the needs of and collaborate with stakeholders in other functions, especially Analytics, and identify opportunities for process improvements across teams
- Expertise in SQL for analytics/reporting/business intelligence and also for building SQL- and Python-based transforms inside an ETL pipeline, or similar
- Experience designing, architecting, and maintaining a data warehouse and data marts that seamlessly stitches together data from production databases, clickstream data, and external APIs to serve multiple stakeholders
- Expertise building the above with a modern data stack based on a cloud-native data warehouse, in our case we use BigQuery, dbt, and Apache Airflow, but a similar stack is fine
- Experience or strong interest in applying AI-enabled workflows to accelerate development velocity and improve data engineering practices
- Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance.
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