GCP Data Architect

Tekskills Inc.; Delhi; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Tekskills Inc. is seeking a Senior Data Architect with 10-15 years of experience to design scalable, cloud-native data solutions. You will architect data platforms across GCP and other clouds, leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker.

You will create logical and physical data models, build ETL/ELT pipelines, and lead modernization efforts migrating legacy systems to GCP. Prior experience with data lake, data warehouse, and lakehouse architectures is essential.

Qualifications

• 10-15 years of experience in data architecture.
• Experience building Cloud Data Engineering solutions on GCP/AWS/Azure.
• Experience designing data lake, data warehouse, and lakehouse architectures in GCP.
• Strong data modeling, data flow diagrams, and integration patterns.
• Architect scalable ETL/ELT pipelines using Dataflow, Spark, or Cloud Composer.
• Lead cloud-native modernization initiatives migrating legacy systems to GCP.

Responsibilities

• Architect end-to-end data architectures on GCP leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and Looker.
• Create logical and physical data models, data flow diagrams, integration patterns, and reference architectures.
• Architect scalable ETL/ELT pipelines using Dataflow, Dataproc, and orchestration tools.
• Lead modernization initiatives: migrate legacy platforms to cloud-first architectures.

Skills

Cloud architecture

GCP

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Looker

Data lakehouse

ETL/ELT

Cloud modernization

Tools

Apache Beam

Spark

Dataproc

Looker

Job description

Role: Senior Data Architect

Total Year of experience: 10-15 years

Job Description:

• Experience architecting solutions in Cloud Data Engineering platform (eg: GCP, AWS, Azure)
• Design endtoend data architectures on GCP leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and Looker.
• Develop modern data lake, data warehouse, and lakehouse architectures using best practices and wellarchitected frameworks in GCP and prefer to have experience in AWS, Azure & Databricks
• Create logical and physical data models, data flow diagrams, integration patterns, and reference architectures.
• Architect scalable ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), and/or Cloud Composer orchestrations.
• Lead cloud-native modernization initiatives: migration from legacy platforms to GCP