Sr. Database Engineer
About The Position
The Senior Database Engineer will play a pivotal role in designing, building, and maintaining our internal data warehouse. This role focuses on architecting a warehouse structure that will enable data to be operationally used across the organization. This will involve ingestion, transformation of, and delivering high-quality data from a variety of internal and external sources into our cloud-based data ecosystem, resulting in stronger reliability, governance, and long-term sustainability. On day one, you will develop robust ELT pipelines, establish engineering best practices, and partner closely with cross-functional teams to deliver a unified, trusted data ecosystem that powers advanced analytics, reporting, machine learning, and consumer engagement initiatives.
Requirements
- Bachelor’s degree or equivalent experience in data engineering, computer science, Information Systems, Data Science or similar field
- Minimum of 5 years of data engineering experience
- Expert understanding of both relational and non-relational databases and query optimization techniques
- Familiarity with APIs, data ingestion patterns, and data integration techniques with a strong understanding of distributed data processing and storage concepts
- Exceptional attention to detail with strong problem-solving skills and ability to debug complex data issues
- Experience implementing data governance practices, including data quality frameworks, data lineage, metadata management, access controls, and compliance with organizational and regulatory standards
- Proven ability to collaborate cross-functionally with BI teams, marketers, and other business stakeholders to translate data requirements into scalable technical solutions
- Self-starter who thrives in a fast-paced environment
Nice To Haves
- Preferred experience with Tableau, Salesforce, Ticketmaster, Fanatics systems and data
Responsibilities
- Design, build, and maintain scalable and reliable data pipelines to ingest data from various sources to optimize ETL/ELT workflows to efficiently process large volumes of data
- Lead end-to-end data architecture decisions and development to ensure scalability, reliability, and long-term platform evolution
- Work across platforms to integrate data from CRM and ticketing platforms, CDP, website, mobile app, and external systems into a unified, reliable ecosystem
- Establish best-practices in warehouse architecture that ensures consistency, governance, and high-quality data across the platform
- Ensure pipelines are fault-tolerant, observable, and recoverable with appropriate logging and alerting system
- Oversee and deploy cost-optimization strategies as it relates to our data infrastructure
- Drive automation initiatives to reduce manual workflows and improve pipeline reliability
- Contribute to improving data accessibility and usability across the organization.
- Support both batch and streaming architecture where applicable
- Document data pipelines, data sources, and system architecture
- Coach engineer(s) through code reviews, technical guidance, and support in developing strong engineering practices
- Collaborate with cross-functional partners to translate business needs into scalable data solutions
- Continuously improve pipeline performance, scalability, and cost efficiency
- Contribute to strategic initiatives and special projects assigned by the Sr. Vice President of Business Strategy & Operations
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What This Job Offers
Job Type
Full-time
Career Level
Senior
