- Strong in data engineering or solution architecture, with good hands-on on GCP
- Proven track record designing and delivering cloud data ingestion frameworks at enterprise scale
- Robust experience with batch, streaming, and API ingestion patterns into cloud warehouses
- Deep BigQuery knowledge — partitioning, clustering, cost optimisation, and transformation frameworks
- Ability to own architecture decisions end-to-end and communicate clearly across technical and business audiences
Architecture & Design
- Design and own the end-to-end architecture of cloud-native data ingestion and engineering frameworks on GCP
- Define reusable pipeline patterns for batch, streaming, and API-based data ingestion into BigQuery and GCS
- Establish load strategies for structured data ingestion — full load, incremental, and upsert patterns
- Drive key architecture decisions to closure and publish Architecture Decision Records (ADRs) for the delivery team
- Evolve the framework iteratively as platform strategy and client requirements mature
- Depth in GCP Data Services with hands-on, ability to build framework that is reliable and scalable.
- Breath on other GCP services and can hold conversations with other pillar(Observability/FinOps, Governance, Infra) to be able to provide platform driven inputs and take informed co-owned decisions.
Data Ingestion & Pipeline Development
- Architect ingestion pipelines for relational databases, flat files, cloud storage, streaming queues, and API sources
Governance & Quality
- Provide inputs and review approach and design to embed data quality checks and schema validation within ingestion pipelines