Job Description

We are seeking a Staff Software Engineer for our Data Governance & Privacy Engineering systems. This role will be crucial in building systems that ensure consent management, data certification, data quality, data lineage tracking, and privacy controls across Fanatics data ecosystem. Responsibilities Architect and develop a comprehensive data certification framework with configurable data quality validation rules, automated profiling, and real-time anomaly detection Architect and develop a comprehensive consent management framework Architect and develop privacy compliance reporting and data retention management systems Implement end-to-end data lineage tracking systems with impact analysis capabilities and column-level granularity for sensitive data flows Develop APIs and integration points for connecting data quality, data lineage tracking, privacy, consent and data governance tools Implement data classification and privacy-preserving transformation pipelines with appropriate access controls and audit logging 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 organisation Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related field 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 micro services, distributed systems and data processing frameworks (Apache Spark, Airflow etc.) Expertise in cloud platforms and their data services, preferably on AWS 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)