ETL Architect - Google Cloud Platform

Role : ETL Architect

Exp : 6 - 12 years

About the Role :

Key Responsibilities :

- Own end-to-end GCP-based data integration and pipeline architecture across source systems, Reltio and downstream platforms.

- Design ingestion, transformation, orchestration, publishing and data movement patterns for batch and API integrations.

- Define scalable data pipelines using technologies such as Databricks, cloud storage and APIs.

- Establish data quality, validation, reconciliation and error-handling frameworks.

- Design pipelines to support multi-language data, character encoding and data standardization requirements.

- Define monitoring, logging, alerting and operational support patterns for data pipelines.

- Ensure data pipelines meet security, privacy, performance and scalability requirements.

- Define source-to-target mappings, transformation logic and integration standards in collaboration with MDM teams.

- Guide ETL developers, review technical solutions/code and support architecture decisions, troubleshooting and stakeholder discussions.

Required Skills and Experience :

- Strong expertise in Google Cloud Platform data services (e.g., BigQuery, Cloud Storage, Dataflow).

- Handson experience with Databricks or Spark for largescale data processing.

- Proven ability to design and implement batch and realtime API integrations.

- Deep understanding of dataquality frameworks, validation, reconciliation, and error handling.