GCP Data Architect

Tekskills Inc.; Chennai; Hybrid; INR 2,500,000 - 5,500,000; Full time

Job summary

Tekskills Inc. is seeking a Senior Data Architect with 10–15 years of experience to design end-to-end data architectures on Google Cloud Platform, leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker.

The role focuses on building modern data lake, data warehouse, and lakehouse solutions while guiding migrations from legacy systems to cloud-native architectures. The ideal candidate will lead scalable ETL/ELT pipelines and influence best practices across data modeling, integration

Qualifications

• 10–15 years of experience as a data architect or in a related role.
• Experience building cloud-native data architectures on GCP.
• Strong knowledge of data lake, data warehouse, and lakehouse paradigms.

Responsibilities

• Design end-to-end data architectures on GCP leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, Looker.
• Architect scalable ETL/ELT pipelines using Dataflow (Beam), Dataproc (Spark), and/or Cloud Composer.
• Lead cloud-native modernization initiatives: migration from legacy platforms to GCP.

Skills

GCP

AWS

Azure

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Data lake

ETL/ELT

Lakehouse

Tools

Apache Beam

Spark

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