Gametime needs a Senior Data Engineer to design, implement, and evolve core data systems that power decision-making across analytics, product, marketing, and operations. The role focuses on building scalable, reliable data solutions using a modern, event-driven stack and improving capabilities in observability, real-time processing, and platform reliability.
Requirements
- Strong fluency in SQL and Python for both pipeline development and data analysis.
- Deep experience with modern data warehouses (e.g., Snowflake) and cloud infrastructure (AWS preferred).
- Expertise with workflow orchestration tools like Airflow and data transformation tools like dbt.
- Solid understanding of data modeling, software design principles, and engineering best practices.
- Experience with event-driven architectures and real-time data processing via Kafka or similar.
- Hands-on experience managing infrastructure with Terraform or other Infrastructure-as-Code (IaC) tools.
- Proven track record of leading complex technical initiatives and mentoring other engineers.
Responsibilities
- Design and lead implementation of scalable, resilient batch and streaming pipelines using Airflow, Python, and Kafka.
- Shape the roadmap and technical direction of the Data Platform, advocating for best practices in architecture, observability, cost efficiency, and quality.
- Own development of modular, production-grade dbt models that surface business logic for downstream analytics and data science.
- Manage deployment of cloud infrastructure via Terraform across AWS environments.
- Establish and improve systems for data validation, pipeline reliability, and automated alerting.
- Design and implement streaming data solutions using Confluent Kafka
- Drive architectural improvements that reduce query cost, improve performance, or unblock new use cases.
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
- 5+ years of experience in data engineering, software engineering, or platform development.
- Proven track record of leading complex technical initiatives and mentoring other engineers.
- Familiarity with data governance, lineage, or observability tooling.
