Data Architect - Google Cloud Platform

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.

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 :

- 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.