Vivid Seats is looking to enhance its data infrastructure and leverage emerging technologies like AI and ML to improve customer experiences and business decision-making.
Requirements
- Deep expertise in cloud-based relational databases, such as Aurora RDS(MySQL), for transactional systems.
- Experience with cloud-based analytical databases, such as Snowflake, BigQuery, or Redshift, for advanced analytics.
- Hands-on experience with ETL pipelines, workflow orchestration (e.g., Airflow), and scripting using Python, Java, or Bash.
- Experience with AI/ML workflows using Python and libraries such as Pandas, NumPy, and Scikit-learn, particularly with AWS SageMaker.
- Experience conducting vendor evaluations and assessing emerging technologies, such as vector databases and in-memory document/object databases, to guide strategic adoption.
- Familiarity with Snowflake Intelligence, Cortex AI, or AI/ML integrations is a plus.
- Familiarity with data science concepts is a plus.
Responsibilities
- Design and build scalable data systems and automated processes that power our cloud infrastructure and deployment pipelines.
- Collaborate across engineering teams to deliver scalable data integrations and transformation pipelines while shaping the underlying data architecture for transactional and analytical use cases.
- Enable AI and ML initiatives by designing and maintaining data pipelines and architectures that support predictive models and automation in Marketing, Pricing, and Customer Service.
- Elevate platform stability by driving best practices, automation, and monitoring across the data ecosystem.
- Stay ahead of emerging technologies and integrate valuable concepts to continuously enhance our data architecture and capabilities.
- Mentor and support teammates, helping them stay unblocked, productive, and challenged to grow.
- Champion engineering best practices, fostering a culture of quality, collaboration, and continuous improvement.
Other
- 7+ years of professional experience in data engineering, analytics, or data Science development, with a proven track record of designing and delivering large-scale data systems.
- Collaborative mindset with a passion for mentoring and helping teammates grow, while effectively communicating across technical and business stakeholders.
- We believe in a hybrid 3 days/week in-office working model
- Many of our roles have flexible requirements and we encourage you to apply regardless of whether you meet every qualification.
