Job Title: GCP Data Architect
Experience: 12+ Years
Work Location: Hyderabad / Chennai
Job Summary
We are looking for a highly experienced
GCP Data Architect with deep expertise in Data Engineering, ETL/ELT development, and Enterprise Data Warehousing. The candidate should have strong hands-on experience in GCP cloud technologies, Airflow, Python, and Teradata. You will be responsible for architecting scalable cloud data platforms, modernizing legacy systems, and providing technical leadership across end-to-end data solutions.
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.
