GCP Data Architect(BigQuery)

swits digital private limited

Bengaluru, India

10-12 Years

Save

Posted 23 hours ago
Be among the first 10 applicants

Early Applicant

Job Description

Job Title

Data Architect / Senior Data Engineer GCP BigQuery

Experience Required

10 12 years of overall experience in Data Engineering / Data Architecture
Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP) and BigQuery

Location

Chennai,Hyderabad,Bangalore,Pune

Job Summary

We are seeking an experienced Data Architect / Senior Data Engineer to design, implement, and optimize large-scale data warehouse and lakehouse solutions on Google Cloud Platform (GCP). The ideal candidate should possess deep expertise in BigQuery architecture, data modeling, ETL/ELT frameworks, streaming data pipelines, and cloud data migration initiatives.

This role requires strong leadership capabilities to define data engineering standards, drive modernization programs, optimize platform performance and cost, and mentor engineering teams.

Key Responsibilities Data Architecture & Design

Design and own BigQuery-based Data Warehouse and Lakehouse architectures for enterprise-scale analytics platforms.
Build scalable and cost-efficient data platforms supporting large data volumes.
Define architecture standards and governance frameworks across data platforms.
Implement best practices for data security, scalability, reliability, and performance.

Data Modeling & Optimization

Define and implement data modeling standards, including:

Dimensional Modeling
Wide Table Modeling
Data Product Architecture

Optimize BigQuery performance and cost using:

Partitioning
Clustering
Query optimization
Storage optimization

Data Engineering & Pipeline Development

Architect and manage end-to-end batch and streaming data pipelines using:

BigQuery
Dataflow
Cloud Composer (Airflow)
Pub/Sub
Cloud Storage

Develop scalable ingestion frameworks for processing high-volume datasets.
Build and maintain ETL/ELT pipelines for enterprise analytics.

Streaming & Large-Scale Processing

Design real-time and near real-time ingestion architectures.
Implement streaming solutions using Pub/Sub and Dataflow.
Support large-scale distributed data processing workloads.

Migration & Modernization

Lead migration initiatives from on-premises data warehouses to GCP/BigQuery.
Modernize legacy analytics platforms and establish cloud-native architectures.

Quality, Governance & Operations

Establish and maintain:

Data Quality frameworks
Data Governance standards
Monitoring and observability
Performance tuning practices

Ensure compliance with enterprise data management policies.

Collaboration & Leadership

Collaborate with stakeholders, analysts, and engineering teams to deliver business outcomes.
Mentor junior engineers and drive engineering excellence.
Define and implement CI/CD standards for data platforms.

Required Technical Skills Cloud & Data Platforms