As a Data Architect, you will be responsible for designing, implementing, and optimizing cloud-native data solutions within Google Cloud Platform (GCP). Your tasks will include leveraging GCP and Apache-based tools to build scalable data pipelines, manage data governance, and ensure compliance with best practices. Collaborating with engineering and analytics teams, you will ensure data availability, reliability, and performance, while recommending improvements to the existing data architecture.

Data Architect (GCP)

Your responsibilities

• Design, implement, and optimize data solutions in GCP for cloud-native data architecture
• Leverage Dataplex for data governance, cataloging, and lifecycle management
• Build and manage Apache-based data pipelines (Beam, Airflow, Kafka) to ensure efficient and scalable data processing
• Develop and maintain ETL/ELT workflows, focusing on cloud-based and streaming architectures
• Define and enforce data governance and compliance best practices across platforms
• Collaborate with engineering and analytics teams to ensure data availability, reliability, and performance
• Provide expertise in big data processing and enterprise-scale analytics solutions on GCP
• Stay updated with emerging data technologies and recommend improvements to existing data architecture

Our requirements

• Minimum 7 years of experience in data architecture, database design, and data engineering
• Strong expertise in Google Cloud Platform (GCP), including Dataplex, BigQuery, Dataflow (Apache Beam), and other GCP-native data tools
• Experience with Apache-based data pipelining tools (e.g., Beam, Airflow, Kafka, Spark) for scalable data processing and orchestration
• Expertise in data modeling (conceptual, logical, and physical) for structured and semi-structured data
• Solid knowledge of ETL/ELT processes, data transformation, and integration techniques in cloud environments
• Strong understanding of data governance, metadata management, and data security within GCP
• Excellent communication and presentation skills — ability to engage with clients, present technical solutions, and translate complex data concepts into clear business insights
• Proven ability to collaborate with cross-functional teams, including engineers, analysts, and business stakeholders, to ensure data integrity and accessibility