GCP Data Architect

A Google Cloud Platform (GCP) Data Architect is a professional responsible for designing and managing data infrastructure and data processing solutions on GCP. They work to ensure that data is properly stored, processed, analyzed, and made accessible in a secure and scalable manner. This role typically involves a deep understanding of cloud-based data services, data warehousing, ETL (Extract, Transform, Load) processes, and big data technologies.

Key Responsibilities:

• Architecture Design: Design scalable, secure, and efficient data architectures on GCP, utilizing services such as Google BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, etc.
• Data Modeling: Define and implement data models to support business needs, including schema design, normalization/denormalization, and partitioning strategies.
• Data Integration: Develop and implement strategies for integrating diverse data sources, ensuring data quality, consistency, and reliability.
• Data Security: Implement security best practices for data storage and processing, including encryption, access control, and compliance with regulations.
• ETL Pipelines: Design and manage ETL workflows that transform raw data into structured, accessible formats for analysis and reporting.
• Collaboration: Work closely with data engineers, analysts, and other stakeholders to understand data requirements and ensure that solutions meet business needs.
• Optimization: Continuously monitor and optimize the performance and cost of data systems on GCP.

Technical Competencies

• Proficiency in GCP data services and cloud architecture best practices.
• Strong knowledge of SQL and data modeling techniques.
• Experience with data engineering practices such as ETL, batch processing, and real-time data streaming.
• Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop).
• Experience in cloud security practices and regulatory compliance (e.g., GDPR, HIPAA)

Qualifications:

• Must Have:
• Bachelors or masters degree in data engineering, Computer Science, or related field.
• 12+ years of experience, with 5+ years in GCP-based data solutions.
• Nice to Have/Preferred:
• Google Cloud Platform certifications.
• Experience in hybrid and multi-cloud data strategies.