Principal Google Cloud Platform Data Architect

Medinext Global LLC

United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Airflow Amazon Web Services Big Data BigQuery Data Architecture Information Engineering Data Governance Data Security Data Flow Control Identity and Access Management Machine Learning

+9 more

Cloudera Pulumi Google Cloud Amazon Virtual Private Cloud (VPC) Apache Kafka Data Management Terraform Looker Analytics Confluent

Job description

We are seeking a hands-on Principal Google Cloud Platform Data Architect to lead the design and implementation of large-scale data ecosystems. The ideal candidate is an architect who has led massive cloud migrations, built self-serve data platforms from the ground up, and maintains a rigorous focus on data governance and security., * Define the long-term roadmap for data platforms on Google Cloud Platform

Architect and oversee the build-out of modern, self-serve data architectures
Lead complex end-to-end migration from AWS to Google Cloud Platform
Design and enforce robust data security frameworks
Drive automation using Terraform or Pulumi
Act as a trusted advisor to executive stakeholders

Requirements

Expert-level mastery of the Google Cloud Platform Data Stack
Experience with BigQuery, Dataflow, Dataproc, Cloud Composer, and more
Google Cloud Platform Professional Data Engineer Certification
DRP ID 50+
18-20 years in Data Engineering, with at least 6+ years focused on Google Cloud Platform

Preferred Skills

Experience with Looker, Vertex AI, BigQuery ML, Kafka, and Confluent
Experience with AWS-to-Google Cloud Platform Migration, dbt, GKE, IAM, VPC Service Controls, and more

Must-Haves: Should have worked exclusively on Google Cloud Platform We are looking for candidates who have Google Cloud Platform Certification and comes from a Data Engineering background. This role is remote and candidate can be based anywhere in US.