Sr. GCP Data Engineer

The Senior GCP Data Engineer leads the design and implementation of scalable data pipelines and medallionstyle data transformations on Google Cloud Platform (GCP), including ingestion to DataHub (BigQuery) and downstream processing for Unity, TDM, Power BI, and MDM

Key Responsibilities

• Design and implement robust ingestion pipelines (batch, streaming, pub/sub, APIdriven) from core systems (e.g., Silverlake, CIF/2020, Core Director, Symitar) into DataHub (BigQuery).
• Implement medallion architectures (Raw Curated Production/Gold) aligned to the Unity data model and BIAN/ISO20022 mappings.
• Integrate tokenization and TDM processes into data pipelines for production and nonproduction environments.
• Build reusable patterns, templates, and modules in SQL, Python, and/or Go to accelerate pipeline delivery.
• Collaborate with architects, data modelers, and BI developers to ensure pipelines support Power BI dashboards, MDM golden records, and data science use cases.
• Implement monitoring, logging, and alerting for performance, data quality, and reliability (replay/idempotency).
• Provide technical leadership and mentoring to other data engineers.

Unique Knowledge & Skill Requirement

• 6+ years of data engineering experience, with 3+ on GCP.
• Strong expertise with BigQuery, DataFlow, Composer, Pub/Sub, and DataPlex.
• Proficiency in SQL and at least one of Python or Go for building pipelines and transformations.
• Experience with highvolume financial or transactional data, and eventdriven architectures.
• Familiarity with medallion architectures and data modeling for analytics.

Experience integrating with BI platforms (Power BI, Fabric) and/or MDM solutions preferred