Data Architect with Big Query & Python - Metro Cities

We are looking for an experienced Data Architect with strong expertise in Google Cloud Platform (GCP), BigQuery, and Python to design and implement scalable, secure, and high-performance data platforms. The candidate will be responsible for defining data architecture, cloud data strategies, data models, and engineering standards across enterprise data initiatives.

Key Responsibilities

• Design end-to-end data architecture on GCP for large-scale data platforms.
• Develop scalable and optimized data solutions using Google BigQuery.
• Define data models including conceptual, logical, and physical data models.
• Design and implement data pipelines and ETL/ELT frameworks using Python and GCP services.
• Work with data engineers, analysts, application teams, and business stakeholders to translate requirements into scalable data solutions.
• Optimize BigQuery queries, partitioning, clustering, storage, and compute costs.
• Establish data governance, security, access control, data quality, and metadata standards.
• Design batch and real-time data ingestion and processing architectures.
• Evaluate and recommend appropriate GCP services based on business and technical requirements.
• Define architecture standards, reusable frameworks, coding standards, and best practices.
• Provide technical leadership and conduct architecture/design reviews.
• Support migration of on-premise or other cloud data platforms to GCP.
• Ensure solutions meet requirements for performance, scalability, reliability, security, and cost optimization.

Data Architecture

• Enterprise Data Architecture
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 16+ years of experience in data engineering/architecture, with significant experience in cloud data platforms.
• Strong hands-on experience with GCP + BigQuery + Python + SQL.
• Experience designing enterprise-scale data platforms and leading technical architecture decisions.