GCP Data Architect

Tekskills Inc.; Bengaluru; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Tekskills Inc. in Bengaluru invites a Senior Data Architect with 10–15 years of experience to design scalable cloud data solutions on GCP and related platforms.

The role focuses on building data lake/warehouse/lakehouse architectures, creating data models, and delivering end-to-end ETL/ELT pipelines using Dataflow, Dataproc, Pub/Sub, and Looker, with migration to cloud-native platforms as a priority.

Qualifications

• 10–15 years of experience in data architecture and cloud data engineering.
• Experience designing end-to-end architectures on GCP with BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker.
• Experience with data lake, data warehouse, and lakehouse architectures on cloud platforms.
• Strong data modeling, data flow diagrams, and reference architectures.

Responsibilities

• Architect end-to-end data architectures on GCP leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and Looker.
• Design data lake, data warehouse, and lakehouse architectures using best practices.
• Create logical and physical data models, data flows, and integration patterns.
• Build scalable ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), and Cloud Composer orchestrations.
• Lead cloud-native modernization initiatives: migration from legacy platforms to GCP.

Skills

GCP expertise

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Looker

Data lake

Data warehouse

Lakehouse

ETL/ELT pipelines

Apache Beam

Spark

Cloud Storage

Databricks

Tools

Databricks

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