ETL Architect - Google Cloud Platform
First seen by Alion on Oct 13, 2026.
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.
Skills
ETL, ETL Tools, Google Cloud Platform, Data Integration, Data Pipeline, Databricks, Spark, BigQuery, Data Quality