Data Architect with Big Query & Python - Metro Cities

Dappverse Computing Chennai; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Dappverse Computing Chennai seeks an experienced Data Architect to design and implement scalable data platforms on Google Cloud. You will shape data architecture, data models, and engineering standards for enterprise initiatives, collaborating with stakeholders across the organization.

The role requires 16+ years in data engineering/architecture, with hands-on GCP, BigQuery, Python, and SQL experience. You will lead architectural decisions and drive data governance, security, and cost

Qualifications

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

Responsibilities

• Design end-to-end data architecture on GCP for large-scale platforms.
• Develop scalable data solutions using Google BigQuery.
• Define data models: conceptual, logical, physical.
• Design and implement data pipelines and ETL/ELT using Python and GCP services.
• Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable solutions.
• Optimize BigQuery queries, partitioning, clustering, and costs.
• Establish data governance, security, access control, data quality, and metadata standards.
• Design batch and real-time ingestion and processing architectures.
• Evaluate and recommend appropriate GCP services based on requirements.
• Define architecture standards, reusable frameworks, and best practices.
• Provide technical leadership and conduct reviews.

Skills

Google Cloud Platform

BigQuery

Python

SQL

Data Architecture

Education

Bachelor's/Master's in CS/Engineering/Data Science

Job description

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.