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

12 to 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.

(ref:hirist.tech)

Data Architect - Google Cloud Platform