
Principal Data Architect
1 week ago
About Our Data Infrastructure
We are seeking a skilled professional to design, build, and maintain data pipelines and workflows.
Key Responsibilities:
- Design and implement data infrastructure using modern orchestration tools like Airflow and data streaming platforms like Kafka.
- Integrate data from external APIs and internal systems into Snowflake and downstream tools.
- Owning critical parts of our Airflow-based orchestration layer and Kafka-based event streams.
- Evaluate and improve existing solutions to optimize data quality, reliability, and observability.
- Collaborate with analysts, product managers, and other engineers to support data-driven decisions.
Requirements:
- At least 3 years of experience as a Data Engineer or Software Engineer working on data infrastructure.
- Strong Python skills and hands-on experience with SQL and Snowflake.
- Experience with modern cloud-native environments (e.g., AWS, Terraform, Docker).
- Able to work independently and prioritize across multiple stakeholders and systems.
- Additional requirements include pulling and managing data from APIs, web scraping via browser automation, and comfort operating in a cloud-native environment.
Why This Role Matters
This project involves collecting player level data for various brands, enabling us to track revenue on different pages/brands and better understand how our users are using our products and what's trending. Our vision is to become the central source of truth for user journey insights, empowering our company to make smarter, faster, and more impactful decisions that drive commercial growth and product innovation.
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