GCP Data Architect

Tekskills; Hyderabad; Hybrid; INR 3,000,000 - 7,000,000; Full time

Job summary

Tekskills is seeking a Senior Data Architect with 10-15 years of experience to design, implement and govern scalable cloud data architectures. You will lead end-to-end data solutions on GCP using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage and Looker, and you will craft data lakes, data warehouses and lakehouses with best practices.

The role includes modeling data, building ETL/ELT pipelines, and guiding cloud modernization projects migrating from legacy platforms to the

Qualifications

• 10-15 years of data architecture experience.
• Proficient in cloud data platforms and architectures.
• Experience with end-to-end data solutions on cloud platforms.

Responsibilities

• 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.
• Architect scalable ETL/ELT pipelines and lead cloud-native modernization initiatives.

Skills

Cloud Data Engineering

BigQuery

Data Modeling

ETL/ELT Pipelines

Looker

GCP/AWS/Azure

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Cloud Storage

Looker

Apache Spark

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