Data Architect
Core
Design, develop, and optimize scalable data pipelines and cloud-native data solutions on Google Cloud Platform (GCP) to enable smarter decisions and faster innovation.
Role type
Lead Data Engineer (SME)
Builds
Robust ETL/ELT frameworks, cloud-native data solutions, and high-quality data products.
Domain
Cloud data engineering and modernization
Deliverable
production ML models
Required skills
Data mining, ETL processes, data pipelines development, relational and NoSQL databases, data modeling, cloud modernization
Preferred skills
DBT, Terraform, CI/CD, DevOps, Spark, Data Mesh, Iceberg, Hudi, Avro, Parquet
Technologies
Google Cloud Platform (GCP), BigQuery, Glue, Databricks, Synapse, PostgreSQL, DB2, MongoDB, GitHub, Visual Studio, SQL, Apache Beam, Hive, Cloud Run
Responsibilities
Design scalable data pipelines, implement Infrastructure as Code using Terraform, enable CI/CD practices, deliver high-quality data products, create conceptual data models.
Seniority
Senior, hands-on IC
