GCP Data Architect

Overview of Role

We are seeking an experienced Data Architect to design, develop, and maintain our google cloud data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across google cloud platforms.

Responsibilities

GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer. Experience designing cloud architectures on Oracle Cloud is a plus.

Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs.

Big Data Processing: Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop.

Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management.

Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading.

Performance Optimization: Monitor and tune data systems to ensure high performance and availability.

Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance.

Innovation: Stay current with the latest technologies and trends in data architecture and cloud computing.

Qualifications

GCP Core Services: In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer.

Data Modeling: Expertise in data modeling techniques and best practices.

Big Data Technologies: Hands-on experience with Spark and Hadoop.

Cloud Architecture: Proven ability to design scalable, reliable, and cost-effective cloud architectures.

Data Governance: Understanding of data quality, security, compliance, and metadata management.

Programming: Proficiency in SQL, Python, and DBT (Data Build Tool).

Problem-Solving: Strong analytical and problem-solving skills.

Communication: Excellent written and verbal communication skills.

A Bachelor’s degree in Computer Science, Computer Engineering, Data or related or equivalent work experience required.

GCP Professional Data Engineer or Cloud Architect certification is a plus.

A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.