Job Description
We are seeking an experienced GCP Data Architect to design, architect, and lead enterprise-scale cloud data platforms and modernization initiatives on Google Cloud Platform. The ideal candidate will have strong expertise in data architecture, GCP services, data engineering, governance, and cloud-native technologies.
Key Responsibilities
Design and lead scalable GCP data architectures for enterprise data platforms, analytics, and modernization initiatives.
Architect and implement cloud data solutions using BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Cloud Composer.
Design enterprise Data Lake, Data Warehouse, and Lakehouse architectures.
Define data models, data domains, integration patterns, and architecture standards.
Lead development of batch and real-time ETL/ELT and streaming data pipelines.
Design data ingestion and transformation frameworks using Python, PySpark, and SQL.
Implement scalable data processing solutions using Dataflow/Apache Beam and Dataproc/Spark.
Develop event-driven data architectures using Pub/Sub.
Implement orchestration and workflow automation using Cloud Composer/Airflow.
Establish data security, governance, quality, metadata, lineage, and access-control standards.
Design highly available, secure, scalable, and cost-optimized GCP data platforms.
Implement Infrastructure as Code using Terraform and support cloud environment automation.
Collaborate with Data Engineers, Cloud Engineers, DevOps, Security, Analytics, and Business teams.
Evaluate existing on-premises data platforms and develop GCP migration and modernization strategies.
Define architecture roadmaps, technical standards, reference architectures, and best practices.
Troubleshoot performance, scalability, data quality, and integration issues across enterprise data platforms.
Provide technical leadership and mentor data engineering teams.
Required Technical Skills
GCP: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, IAM, VPC
Data Engineering: ETL/ELT, Data Lakes, Data Warehouses, Lakehouse, Batch & Streaming
Programming: Python, PySpark, SQL
Big Data: Apache Spark, Apache Beam, Kafka
Orchestration: Airflow / Cloud Composer
Infrastructure: Terraform, CI/CD, Git
Data Governance: Data Quality, Metadata, Lineage, Cataloging, Security
Strong understanding of cloud architecture, distributed systems, scalability, availability, and disaster recovery
Preferred Qualifications
Experience with enterprise-scale GCP migration and modernization projects.
Experience with Databricks, Snowflake, or other modern data platforms.
Knowledge of GCP Data Catalog / Dataplex and enterprise data governance.
Experience with Looker or other BI/analytics platforms.
GCP certifications such as Professional Cloud Architect or Professional Data Engineer are preferred.
Excellent communication and stakeholder-management skills.

GCP Data Architect

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