Google Cloud Platform Architect

Quantum Integrators Group LLC
Durham, NC, United States
12 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Business Analytics Applications Data Analysis Big Data BigQuery Cloud Computing Cloud Computing Security Cloud Engineering Cloud Storage Data as a Services Information Engineering Data Integration Data Systems
+12 more
Data Flow Control Identity and Access Management Cloud Services Cloudera Enterprise Data Management Google Cloud Data Ingestion Amazon Virtual Private Cloud (VPC) Data Analytics Data Management Terraform Data Pipelines

Job description

We are looking for an experienced Google Cloud Platform Architect to design and deliver scalable, secure, and reliable cloud solutions on Google Cloud Platform. The candidate will work closely with business, data, engineering, and R&D teams to develop cloud and data solutions supporting Life Sciences business and R&D initiatives., * Design and implement scalable and secure Google Cloud Platform (Google Cloud Platform) architectures.

  • Develop cloud solution architectures aligned with business, technical, security, and compliance requirements.
  • Partner with data engineering, application, infrastructure, security, and R&D teams to deliver cloud-based solutions.
  • Design and implement Google Cloud Platform data and analytics solutions supporting Life Sciences R&D use cases.
  • Define cloud architecture standards, technology patterns, and best practices.
  • Provide technical leadership for Google Cloud Platform migration, modernization, integration, and transformation initiatives.
  • Evaluate Google Cloud Platform services and recommend appropriate solutions based on business and technical requirements.
  • Design solutions involving data ingestion, processing, storage, analytics, and integration.
  • Ensure solutions meet enterprise security, scalability, availability, performance, and governance requirements.
  • Collaborate with stakeholders to translate business requirements into technical architecture and implementation plans.
  • Provide technical guidance to development and engineering teams throughout the solution lifecycle.
  • Support architecture reviews, technical assessments, solution documentation, and design governance.

Requirements

The ideal candidate should have strong Google Cloud Platform architecture experience, a solid understanding of data engineering platforms, and experience working with Life Sciences data services and solutions, particularly in an R&D environment., * 6 8 years of relevant IT/cloud architecture experience.

  • Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Google Cloud Platform Solution Architect certification is mandatory.
  • Strong understanding of cloud architecture principles, security, networking, IAM, compute, storage, and managed Google Cloud Platform services
  • Experience designing enterprise-scale cloud solutions.
  • Strong understanding of data platforms and data engineering concepts.
  • Experience with Google Cloud Platform data services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, or equivalent technologies.
  • Strong communication and stakeholder-management skills.
  • Ability to work effectively with distributed technical and business teams., * Experience delivering data services and solutions for R&D organizations.
  • Experience in the Life Sciences / Pharmaceutical / Biotechnology industry.
  • Data Engineering experience.
  • Experience with enterprise data platforms, data pipelines, analytics, and data integration.
  • Experience with Infrastructure as Code, preferably Terraform.
  • Knowledge of cloud security, governance, compliance, and enterprise architecture practices.
  • Experience working with large-scale data and analytics environments.

Preferred Technical Skills

  • Cloud: Google Cloud Platform (Google Cloud Platform), GKE, Compute Engine, Cloud Storage, Cloud Run
  • Data & Analytics: BigQuery, Dataflow, Dataproc, Pub/Sub, data pipelines, data integration, analytics platforms
  • Security & Governance: Cloud IAM, VPC, networking, security, governance, compliance

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

Videos

See all

Related articles

See all