Qualifications

• 5-7 years of experience with Google Cloud Platform tools such as Big Query and Dataflow.
• Strong background in enterprise data architecture and data modeling.
• Proficient in data platform, data lake, and data warehouse architecture.
• Experienced in data governance, quality, and metadata management.
• Skilled in Python, SQL, and Apache Spark for data processing.
• Expertise in designing and optimizing ETL/ELT pipelines.
• Knowledge of Infrastructure as Code using Terraform.

Responsibilities

• Design scalable, secure, high-performing GCP data architectures.
• Architect comprehensive data platforms, data lakes, and analytics solutions.
• Develop and optimize batch and streaming data pipelines.
• Define and implement data governance, quality, and metadata standards.
• Lead architecture reviews and establish best practices in cloud implementations.
• Collaborate with business and engineering teams to deliver scalable solutions.
• Optimize Big Query performance and manage cloud costs.
• Ensure compliance with enterprise security and regulatory standards.

Benefits

• Opportunity for career advancement in a rapidly evolving cloud environment.
• Work with cutting-edge technologies including GCP and data engineering tools.
• Mentoring and leadership opportunities within the engineering teams.
• Involvement in strategic initiatives such as cloud migration and modernization.
• A collaborative work culture focused on best practices and technical innovation.