Location
Our Cloud Data Architect will be an integral part of our Cloud Reliability Engineering team in Colombia.
Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
The Opportunity
As a Cloud Data Architect, you will be part of our global CRE team, working with rapidly growing companies around the world. This role offers you the chance to:
- Apply your hands-on experience & skills in a consultative manner to address our customers’ strategic and tactical needs around cloud technologies
- Grow your technical and interpersonal skills by addressing customer challenges in your daily work and leveraging dedicated time allocated by the company for learning new technologies and engaging in internal initiatives
- Strengthen your personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events
Qualifications
- Good verbal and written communication skills.
- The expertise to architect, develop and troubleshoot large production-grade distributed systems on AWS and select the appropriate tools to tackle business problems at the correct scale.
- Experienced working with cloud data storage, data warehousing, and/or data lake architecture, ELT/ ETL and reporting/ analytic frameworks and technologies, such as Redshift, Athena, Glue and EMR.
- Experience with designing highly-available systems for serving transactional web-scale low-latency traffic using both RDBMS and NoSQL technologies, such as AWS RDS and DynamoDB.
- A programming background with shell scripts and one or more of the following: JavaScript, Java, Python, GO or Rust.
- Familiarity with debugging, refactoring and optimizing code and the experience to know when and how to automate tasks.
- 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 with deploying production data pipelines using orchestration tools like AWS MWAA/Airflow.
Bonus Points
- Experience with AI/ML technologies like SageMaker is a plus.
- Experience with QuickSight or other BI Visualization tools is a plus.
- Being open to study and work with GCP data products.
Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values.
Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button.
- Unlimited PTO
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
#LI-Remote
Remotive
Jornada completa, 100% remoto.
Solo para personas ubicadas en
Colombia.