GCP Data Architect

Tekskills Inc.; Kolkata District; Hybrid; INR 3,000,000 - 5,400,000; Full time

Job summary

Tekskills Inc. in Kolkata invites a Senior Data Architect with 10-15 years of experience to design and implement cloud-oriented data architectures. You will shape end-to-end platforms on GCP leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker, while orchestrating pipelines with Cloud Composer.

You will lead modern data lake, data warehouse, and lakehouse patterns, create robust data models, and drive migration from legacy systems to cloud-native solutions across AWS and Azure as needed.

Qualifications

• 10-15 years of total experience in data architecture.
• Experience architecting solutions in Cloud Data Engineering platforms (GCP/AWS/Azure).
• Proficiency with BigQuery, Dataflow, Dataproc, Pub/Sub, Looker.
• Strong data modeling and reference architecture skills.
• Experience with modern data lake, data warehouse, and lakehouse patterns.

Responsibilities

• Architect end-to-end data architectures on GCP using BigQuery, Dataflow, Dataproc, Pub/Sub, Looker.
• Design data lake, data warehouse, and lakehouse architectures across cloud platforms.
• Create logical and physical data models, data flows, integration patterns, and reference architectures.
• Lead cloud-native modernization and migration from legacy platforms to GCP/AWS/Azure.

Skills

GCP

AWS

Azure

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Cloud Composer

ETL/ELT

Data Modeling

Apache Beam

Spark

Databricks

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Cloud Storage

Cloud Composer

Databricks

Spark

Apache Beam

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