Data Architect - Google Cloud Platform
First seen by Alion on Oct 26, 2026.
Key Responsibilities :
- Define end-to-end data architecture and technology strategy for enterprise-scale GCP data platforms.
- Design cloud-native data solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and related GCP services.
- Establish architectural patterns for batch ingestion, real-time streaming, data transformation, and analytics.
- Define data modeling strategies, including conceptual, logical, and physical data models.
- Design scalable data warehousing and lakehouse-style architectures based on business and technical requirements.
- Drive architecture decisions around performance, availability, scalability, disaster recovery, and cost optimization.
- Establish standards for data quality, metadata management, data lineage, security, governance, and regulatory compliance.
- Guide engineering teams on architecture implementation, code quality, design patterns, and technology selection.
- Evaluate emerging GCP services and recommend appropriate tools and frameworks.
- Collaborate with business leaders, enterprise architects, security teams, and engineering stakeholders to translate business objectives into architecture blueprints.
- Review solution designs, identify architectural risks, and ensure alignment with enterprise architecture principles.
- Drive cloud modernization, platform optimization, and data engineering best practices.
Required Skills :
14-16 years of experience in data engineering, data architecture, cloud platforms, or related technology domains.
- Hands-on experience with GCP (BigQuery, Composer, Dataproc, Dataflow, Pub/Sub)
- Working knowledge of Databricks for data processing and pipelinesStrong programming skills in SQL and PySpark
- Experience with Oracle and SQL Server databases
- Understanding of data modelling (dimensional / medallion basics)
- Experience in batch pipelines and exposure to streamingFamiliarity with data ingestion, ETL/ELT processes
- Basic understanding of data quality and validationExposure to Airflow/Composer and scheduling
- Working knowledge of Git and CI/CD
Skills
Data Engineering, BigQuery, Apache Spark, PySpark, SQL Server, Data Modeling, Data Warehousing, Data Governance, Data Quality, Apache Airflow, Google Cloud Platform