Cloud Data Architect - GCP Data & Analytics

DoiT International Other US Location

Company

DoiT International

Location

Other US Location

Type

Full Time

Job Description

Location

Our Cloud Data Architect role is a vital part of our Cloud Reliability Engineering team in North America. This remote-based position is open to candidates residing in the Pacific (PT) or Mountain (MT) time zones.

Who We Are

DoiT empowers fast-growing, digitally-native companies worldwide to harness the potential of public cloud technology and services to drive business growth. As a comprehensive provider of multi-cloud technology and expertise, DoiT combines the strength of intelligent software with deep proficiency in Kubernetes, artificial intelligence, and more to unlock the true potential of the cloud with efficiency and ease, without unnecessary costs.

As a celebrated strategic partner of AWS, Google Cloud, and Microsoft Azure, managing over $2 billion in cloud spend, DoiT collaborates with more than 3,000 customers across 70 countries. At DoiT, you'll join a growing team of dedicated, experienced, and collaborative "Do'ers" who are passionate about solving the most intricate cloud challenges.

The Opportunity

As a Cloud Data Architect, you will be an integral part of our global CRE team, collaborating with rapidly expanding companies in North America and worldwide. This role offers you the opportunity to:

  • Apply your hands-on experience and skills in a consultative manner to address our customers' strategic and tactical needs related to cloud technologies.
  • Elevate your technical and interpersonal skills by tackling customer challenges in your daily work and making the most of dedicated time allocated by the company for learning new technologies and engaging in internal initiatives.
  • Enhance your personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events.

Qualifications

  • Strong verbal and written communication skills.
  • Proficiency in architecting, developing, and troubleshooting large-scale, production-grade distributed systems on GCP, selecting the appropriate tools to address business challenges at the correct scale.
  • Experience working with cloud data storage, data warehousing/data lake architecture, ELT/ETL, and reporting/analytics frameworks and technologies, such as BigQuery, Dataflow, Looker Studio, and Dataproc.
  • Familiarity with designing highly-available systems to serve transactional web-scale low-latency traffic using both RDBMS and NoSQL technologies, such as GCP CloudSQL, BigTable, and Firestore.
  • A programming background with shell scripts and proficiency in one or more of the following: JavaScript, Java, Python, GO, or Rust.
  • Competence in debugging, refactoring, and optimizing code, along with the ability to determine when and how to automate tasks.
  • The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
  • Hands-on experience with developing and deploying production data pipelines using orchestration tools like GCP Cloud Composer/Airflow.

Bonus Points

  • Experience with AI/ML technologies like Vertex AI and BigQuery ML is a plus.
  • Familiarity with Looker or other BI Visualization tools is a plus.
  • Willingness to explore and work with GCP data products.

Are you a Do'er?

Embrace your true self. Define your own path. Make an impact.

We are proud to have a diverse global team of exceptional talent who work remotely and enjoy the flexibility to balance work and personal life. We are committed to supporting your professional and personal growth.

What does being a Do'er mean? It's all about entrepreneurship, continuous learning, and having fun! Explore our core values here.

Think it's too good to be true? Check out our Glassdoor Page.

We thought so too, but we're here, and we're thrilled you hit that 'apply' button.

We Offer:

  • Unlimited PTO
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program

#LI-Remote

Apply Now

Date Posted

10/30/2023

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