GCP Data Engineer / Solution Architect

GCP Data Engineer / Solution Architect

Remote

8+ Years Experience

Google Cloud Platform

Job Summary

We are seeking an experienced GCP Data Engineer / Solution Architect with 8+ years of experience to design, architect, develop, and implement scalable, secure, and high-performance data solutions on Google Cloud Platform (GCP).

Preferred Skills

CDC and database replication technologies.

Kafka and real-time streaming architecture.

Cloud SQL, AlloyDB, and relational database integration.

Dataplex Universal Catalog and data governance.

Looker and analytics integration.

Cloud Run, Cloud Functions, and event-driven services.

VPC, private connectivity, and secure cloud networking.

FinOps, workload cost optimization, and capacity planning.

Migration of on-premises data platforms to GCP.

Generative AI or Vertex AI data pipeline integration, where applicable.

Experience and Qualifications

8+ years of experience in data engineering, big data, cloud platforms, or solution development.

Strong hands-on experience with GCP data services and production-grade data pipelines.

Demonstrated experience designing end-to-end cloud data architectures.

Expertise in BigQuery, Python, SQL, and at least one major data processing framework such as Dataflow/Apache Beam or Spark.

Experience with cloud security, governance, scalability, reliability, and cost optimization.

Ability to lead technical design decisions and communicate with business and engineering stakeholders.

Experience working independently with globally distributed, remote teams.

A Google Cloud Professional Data Engineer or Professional Cloud Architect certification is desirable.

Pay: ₹100,000.00 per month

Experience:

• GCP Data Engineer / Solution Architect: 8 years (Required)

Work Location: Remote