GCP Data Architect

Knowledge & Skills:

Understanding and experience with Google Cloud architecture

In-depth knowledge of database and data warehouse technologies & concepts

from Google (e.g., Big Query, Cloud SQL, Spanner, Big Table)

Experience in enterprise scale Data modelling/Data warehouse

modernization/Cloud based data lakes

Build the infrastructure required for optimal extraction, transformation, and

loading of data from a wide variety of data sources using SQL and Google cloud big

data' technologies.

Building Data pipelines with Data proc Cluster, Data Flow, Pub sub, Cloud

Composer (Airflow), Cloud functions etc.

Fluency in object-oriented languages, preferably Python.

Strong understanding of distributed systems architecture.

Data quality process experience including data cleansing, audits and alerts, triage

mechanisms & processes, and referential integrity.

CI/CD: Release, deployment with Google Cloud build and git flow, GKE, Docker

Requirements:

4+ years' experience architecting with GCP Database Technologies

2+ year's hands-on experience on GCP

Certification like Google Cloud Professional Cloud Architect, Google Professional

Data Engineer would be a plus.

o Cloud Management Platforms,

Virtualization Strategies, Automation and Orchestration Strategies, Public

Cloud Platforms, Cloud Capacity/Performance Optimization, and Application

Migrations to a Cloud Platform with a clear understanding of how an IT

organization capitalizes upon technology to enable the business.

• Deep knowledge of cloud best practices to reduce cost of operations along

with high SLOs like five 9's availability across tiers.

• Working knowledge and skills in cloud container services -GKE, storage

services (e.g. Cloud Storage), database services (Spanner| Big Query), digital

or infrastructure deployments that includes managing projects related to

highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and security.

• Deep understanding of GCP vertex search and other AI/ML services. Must be

able to identify and solve AI/ML use cases across enterprise.

• Deep understanding of microservices patterns and hands on experience with

Microservices.

• Defining cloud adoption strategy and transformation roadmap for large scale

enterprise clients.

• Designing, architecting, implementing, and managing cloud infrastructure on

Google Cloud Platform.

Requirements:

• 5+ years' experience architecting with GCP Technologies.
• 2+ year's hands-on experience on developing enterpris