GCP Data Architect

Job Title: GCP Data Architect

Experience:

Work Location:

Job Summary

GCP Data Architect

Roles & Responsibilities

Cloud Data Architecture & Engineering

• Architect, design, and deliver scalable Data Engineering and Data Warehousing solutions on Google Cloud Platform (GCP).
• Lead end-to-end implementation using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and other GCP services.
• Modernize legacy systems by integrating traditional platforms like Teradata into GCP environments.
  

ETL/ELT & Workflow Management

• Design and optimize ETL/ELT pipelines ensuring high performance, reliability, and automation.
• Build, schedule, and manage workflows using Apache Airflow with strong hands-on Python scripting.
  

Data Modeling & Optimization

• Perform conceptual, logical, and physical data modeling for analytics and reporting.
• Write and optimize complex SQL queries for large datasets in BigQuery and Teradata.
• Engineer data solutions for handling semi-structured formats (JSON, Parquet, XML).
  

Governance, Quality & Security

• Define, implement, and enforce standards for data quality, metadata management, governance, and security.
• Ensure compliance with organizational data policies and best practices.
  

Automation, DevOps & Agile Delivery

• Implement CI/CD pipelines and collaborate with DevOps teams using GitHub, Jenkins, and cloud-native tools.
• Work in Agile/SAFe environments, participating in sprint planning, estimations, and team alignment.
• Document architecture patterns, data flows, best practices, and solution designs.
  

Leadership & Collaboration

• Provide technical leadership and guidance to development teams.
• Collaborate with business, analytics, and engineering stakeholders to align technical solutions with business goals.
• Evaluate emerging GCP capabilities and recommend improvements for efficiency and scalability.
  

Required Qualifications

• 12+ years of overall IT experience with strong ETL, Data Warehousing, and Data Engineering background.
• 7+ years hands-on experience with GCP cloud data services.
• Proven experience delivering 2+ large-scale GCP Data Warehousing projects.
• Strong expertise in:
• BigQuery, Cloud Storage, Dataflow, Pub/Sub
• Airflow, Python, Cloud Functions, Cloud Run
• Teradata (including performance tuning & workload migration)
• SQL, PySpark, and distributed systems optimization
• Deep understanding of data modeling, profiling, mapping, and validation.
• Strong communication, leadership, and analytical problem-solving skills.
  

Preferred Skills

• Experience with CI/CD, GitHub, Jenkins, JIRA, Confluence.
• Knowledge of Kubernetes, Docker, or containerized workloads.
• Domain experience in Financial, Telecom, or Retail industries.