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This role involves designing and implementing scalable data solutions, ensuring high-quality data pipelines for business-critical analytics, and collaborating with cross-functional teams.

The Senior Data Engineer will design and implement scalable data solutions, build data pipelines on AWS, and ensure data quality for analytics. Responsibilities include collaborating across teams and identifying optimization opportunities in data workflows.

Lead end-to-end cloud migration and modernization projects to AWS: perform discovery and assessments, design cloud-native architectures (microservices, containers, serverless), implement IaC, run Well-Architected reviews, optimize post-migration, document runbooks and rollback plans, and mentor junior engineers while coordinating with infra, security, data, and business stakeholders.

Validate and reconcile data pipelines, build reconciliation frameworks, execute acceptance and automated regression testing, profile data and detect anomalies, document data lineage across domains, and collaborate with Data Engineering and Analytics to ensure production readiness.

Design and implement Snowflake-based governance and privacy solutions, build ETL/ELT pipelines, automate data protection and cleanup, apply data masking and JSON remediation, and collaborate on scalable data architectures.

Design and implement Snowflake-based governance and privacy solutions, build automated data protection processes, support data cleanup and JSON remediation, implement masking/obfuscation, and collaborate on scalable data architecture and pipelines.

The Data Engineer will design and optimize data pipelines and workflows to support a Media Mix Optimization platform, ensuring data integrity and governance while collaborating with Data Science and BI teams.

Design, build, and maintain scalable data pipelines and ingestion architectures in Snowflake. Perform data transformation, validation, normalization, and ETL to ensure high-quality datasets for analytics. Collaborate with stakeholders and document processes to support downstream reporting and business workflows.

Design and implement Snowflake-based governance and privacy solutions. Build automated privacy processes, data masking and JSON remediation, support data cleanup, optimize warehouse performance, develop ETL/ELT pipelines, and collaborate on scalable data architecture and automation.

Design and implement Snowflake-based governance and privacy solutions, automate privacy and masking processes, remediate JSON field privacy, support data cleanup, and build scalable ETL/ELT pipelines in collaboration with cross-functional teams.