Data Architect

You will design and implement scalable, secure data architectures on Google Cloud Platform to support evolving business requirements.

Responsibilities

• Design scalable data architectures, workflows, and frameworks on GCP for high-quality storage and processing.
• Lead data discovery sessions and assess existing infrastructure to identify migration opportunities.
• Develop data migration strategies for databases, warehouses, and data lakes, ensuring data integrity and minimal downtime.
• Establish data governance frameworks and implement security best practices including IAM, encryption, and data masking.
• Create technical documentation including data flow diagrams, ER diagrams, and metadata definitions.

Required Skills

• 7+ years of experience in data architecture or related roles with a focus on cloud environments.
• Proven experience designing and implementing data architectures on Google Cloud Platform (GCP).
• Hands-on experience with large-scale data warehouses, data lakes, and complex ETL/ELT processes.
• Proficiency in SQL and NoSQL databases.
• Deep technical knowledge of BigQuery, Cloud Spanner, Bigtable, Cloud SQL, Cloud Storage, Dataproc, and Dataflow.
• Experience with data modeling, database design, and data integration frameworks.
• Knowledge of data security compliance standards such as GDPR and CCPA.
• Bachelor’s degree in Computer Science, Data Science, or Information Systems.