Overview
Role Overview
We are seeking a seasoned GCP Data Architect to lead the design and delivery of enterprise-grade data and cloud solutions. This role will be responsible for defining end-to-end cloud and data architecture, driving strategic decisions, and enabling scalable, secure, and high-performance data ecosystems for our clients.
Job Description
Key Responsibilities
· Define and drive enterprise-level data and cloud architecture strategy.
· Architect scalable, secure, and high-performance data platforms on GCP.
· Design end-to-end cloud architecture including data, application, and integration layers.
· Build and optimize data lakes, warehouses, and real-time data pipelines.
· Lead solutioning using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
· Establish data governance, security, and compliance standards (especially in Healthcare domain).
· Partner with business and technology stakeholders to deliver value-driven solutions.
· Provide technical leadership, mentoring, and architecture guidance to teams.
· Ensure performance optimization, cost efficiency, scalability, and reliability.
· Drive best practices in DevOps, CI/CD, and Infrastructure as Code (IaC).
Required Skills & Experience
· 12–15 years of experience in Data Engineering / Data Architecture / Cloud Architecture.
· Strong expertise in Google Cloud Platform (GCP) with 5+ years of hands-on experience.
· Proven experience in defining and implementing cloud architecture strategies.
· Deep knowledge of BigQuery and modern data warehousing architecture.
· Strong experience in designing large-scale ETL/ELT and real-time data pipelines.
· Strong programming skills in Python and SQL.
· Expertise in data modeling, performance tuning, and distributed systems.
· Experience with Airflow / Cloud Composer and orchestration frameworks.
· Strong understanding of data governance, security, and compliance (Healthcare preferred).
· Experience in client-facing roles, solutioning, and stakeholder management.
Good to Have
· Experience with other cloud platforms like AWS and Microsoft Azure.
· GCP Certifications (Professional Data Engineer / Cloud Architect).
· Experience in Healthcare domain (HIPAA or similar compliance exposure).
· Experience in BFSI or enterprise-scale data transformation programs.
· Exposure to AI/ML-driven data platforms.
Skills & Requirements
AZURE, AI/ ML, AWS, python, BigQuery, Data Architecture, Data Warehousing, CGP Cloud
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