GCP Data Architect

Tekskills Inc.; Hyderabad; 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 and lead cloud-based data architectures. You will architect end-to-end data solutions on GCP using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Looker, while aligning with best practices and reference architectures.

Familiarity with AWS, Azure and Databricks is preferred. You will create logical and physical data models, data flow diagrams, and scalable ETL/ELT pipelines using Dataflow,

Qualifications

• 10-15 years of experience in data architecture roles.
• Experience architecting solutions in Cloud Data Engineering platforms (GCP, AWS, Azure).
• Design end-to-end data architectures on GCP with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Looker.
• Develop modern data lake, data warehouse and lakehouse architectures using best practices and well-architected frameworks.
• Experience across AWS, Azure and Databricks is preferred.
• Create logical and physical data models, data flow diagrams, and reference architectures.
• Architect scalable ETL/ELT pipelines using Dataflow, Dataproc, and Cloud Composer.

Responsibilities

• Lead cloud-native modernization initiatives: migration from legacy platforms to GCP.
• Define and govern data architecture standards and reference architectures.
• Collaborate with data engineers, analytics, and product teams to deliver solutions.
• Evaluate new data technologies and drive modernization initiatives.
• Ensure data quality, security, and compliance in cloud environments.

Skills

GCP

AWS

Azure

Databricks

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Cloud Composer

Lakehouse

ETL/ELT

Apache Beam

Spark

Data Modeling

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