Staff Data Engineer - Platforms

We are seeking a Staff Software Engineer to lead the development of our Data Governance & Privacy Engineering systems. This role will be crucial in building systems that ensure data quality, reliability, lineage tracking, schema management, and privacy controls across Fanatics’ data ecosystem.

Responsibilities

• Architect and implement a comprehensive data quality framework with configurable validation rules, automated profiling, and real-time anomaly detection
• Design and build data reliability monitoring systems including automated testing frameworks, reconciliation tools, and SLA monitoring for data freshness and availability
• Develop end-to-end data lineage tracking systems with impact analysis capabilities and column-level granularity for sensitive data flows
• Create automated schema evolution and validation systems with change detection, versioning, and impact analysis tools
• Implement data classification and privacy-preserving transformation pipelines with appropriate access controls and audit logging
• Create comprehensive observability solutions including quality metrics dashboards, alerts, and reporting systems
• Develop APIs and integration points for connecting data quality, lineage, and governance tools with existing data platforms
• Design and create privacy compliance reporting and data retention management systems
• Collaborate with data engineering, analytics, and business teams to establish quality standards and governance practices
• Mentor team members on data quality best practices and drive adoption of governance tools across the organization

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field OR equivalent combination of Education and Experience
• 7+ years of software engineering experience with 3+ years focused on data platforms
• Proficiency in at least one programming language such as Python, Go, Java or Scala
• Strong experience in working with distributed systems, data processing frameworks (Apache Spark, Airflow etc.) and data quality tools (Great Expectations etc.)
• Expertise in cloud platforms and their data services, preferably on AWS
• Hands-on experience with data warehousing solutions (Snowflake, Redshift) and data lakes
• Strong knowledge of metadata management, data cataloging, and graph databases for lineage tracking
• Experience with infrastructure as code (Terraform) and containerization (Docker, Kubernetes)
• Strong understanding of data modeling and database design principles
• Knowledge of data governance practices and understanding of regulatory requirements (GDPR, CCPA etc.)
• AWS Certification (Solutions Architect / Data Analytics / Data Engineer)