Job Description

Proficient in
data modeling, data warehousing concepts, ETL/ELT pipelines, and big data processing frameworks.
Experience with
SQL, Python, and Terraform (preferred)
for infrastructure as code.
Hands-on experience in
data security, encryption, access control, and governance
on GCP.
Experience in integrating with real-time data pipelines and event-driven architectures.
Strong understanding of
DevOps, CI/CD pipelines for data workflows, and cloud cost optimization.
GCP Professional Data Engineer / Cloud Architect certification is a plus.

Role Overview:

We are seeking a highly skilled
GCP Data Architect
with 6-8 years of experience in designing, developing, and managing enterprise data solutions on
Google Cloud Platform (GCP). The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration, with proven expertise in delivering scalable, secure, and efficient data platforms.

Key Responsibilities:

Design and architect end-to-end
data solutions on GCP, aligning with business and technical requirements.
Define data models, storage strategies, data ingestion, processing, and consumption frameworks.
Implement
data lakes, data warehouses, and data marts
using services like
BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
Collaborate with business stakeholders, data scientists, and engineering teams to understand data needs and translate them into scalable architectures.
Design and implement
data governance, security, and compliance frameworks
for cloud-based data platforms.
Optimize data workflows, query performance, and storage costs in the GCP environment.
Lead
data migration and modernization initiatives
from on-premise or other cloud platforms to GCP.
Stay updated with GCP services, features, and industry best practices to recommend improvements and innovation.
Provide technical leadership and mentoring to data engineering teams.

Required Skills & Experience:

6-8 years
of experience in data architecture and engineering roles, with at least
3 years hands-on on GCP.
Strong expertise in
GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog.
Proficient in
data modeling, data warehousing concepts, ETL/ELT pipelines, and big data processing frameworks.
Experience with
SQL, Python, and Terraform (preferred)
for infrastructure as code.
Hands-on experience in
data security, encryption, access control, and governance
on GCP.
Experience in integrating with real-time data pipelines and event-driven architectures.
Strong understanding of
DevOps, CI/CD pipelines for data workflows, and cloud cost optimization.
GCP Professional Data Engineer / Cloud Architect certification is a plus.

Good to Have

:
Exposure to AI/ML workflows, data preparation for ML models.
Experience with third-party tools like
Apache Airflow, Looker, or Dataplex.
Knowledge of other cloud platforms (AWS, Azure) for hybrid/multi-cloud strategies.

Educational Qualification:

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

Why Join Us:

Work on cutting-edge data transformation programs at scale.

Opportunity to architect high-impact solutions in a collaborative, innovation-driven environment.

Engage with a fast-growing team focused on data-driven business value.

Job Type: Full-time

Work Location: In person