Data Architect

Posted 4 Days Ago
Hiring Remotely in United States
Remote
214K-252K Annually
Mid level
Cloud • Information Technology • Security • Software
The Role
As a Data Architect, you will design solutions that align with business processes, ensuring compliance with regulatory guidelines. You will collaborate with stakeholders, lead architecture review meetings, and evaluate technology solutions. A deep understanding of AWS, Snowflake, and dbt is required, alongside effective communication and design skills.
Summary Generated by Built In

About This Role

We’re looking for a Data Architect who wants to be part of a great team as we re-align with every business vertical. You’re an inherently curious, caring Engineer who is motivated by complex technical problems and are solution-oriented. You will manage relationships with cross-functional stakeholders and align them with what we're building.

The team’s goal is to find value quickly as the business is continually changing, and we need to adapt to their needs. We’re aligning with GTM in a more direct way, which is typically a rapidly moving organization. The team works in AWS, Postgres, Snowflake, and dbt.

In this role, you can expect to:

  • Apply understanding of architectural principles with minimal guidance
  • Understand and map end-to-end business processes in the relevant domain
  • Consider regulatory guidelines like SOX, GDPR, and CCPA in solution design
  • Model simple processes and contribute to architecture review meetings
  • Evaluate solutions/tools and assess build vs. buy decisions
  • Design solutions spanning multiple products/technologies with guidance
  • View solutions from various stakeholder viewpoints and address their requirements
  • Design extensible and future-proof solutions to a practical extent
  • Collaborate with technical stakeholders and present complex concepts effectively
  • Lead design and architecture review meetings for small to medium-complexity solutions
  • Seek continuous improvement in architectural knowledge and stakeholder management skills

You may be a good fit for our team if you have:

  • Clear understanding of architectural principles and their application
  • Familiarity with end-to-end business processes and data’s impact on them
  • Knowledge of regulatory guidelines affecting solution design
  • Ability to model simple processes and participate in architecture review meetings
  • Experience with evaluating solutions/tools and making build vs. buy decisions
  • Design skills for solutions spanning multiple products and technologies
  • Ability to empathize with various stakeholders and address their requirements
  • Skills to design extensible and future-proof solutions where appropriate
  • Effective collaboration and communication skills with technical and non-technical stakeholders
  • Experience leading design and architecture review meetings
  • A commitment to continuous learning and improvement in architectural knowledge and stakeholder management skills
  • Excellent skills with Python, SQL, or similar languages
  • A deep understanding of AWS, Snowflake, and dbt
  • Experience with visualization or reporting tools like Tableau, Sigma

#LI-Remote

Individual pay within the range will be determined based on job related-factors such as skills, experience, and education or training.

The base pay range for this role in the SF Bay Area / NYC area is:

$214,200$252,000 USD

The base pay range for this role in Seattle Metro, Denver / Boulder Metro, New York (excluding NYC), Washington D.C., or California (excluding SF Bay Area) is:

$196,400$231,000 USD

The base pay range for this role in Colorado (excluding Denver / Boulder Metro) and Washington (excluding Seattle Metro) is:

$178,500$210,000 USD

Top Skills

Python
SQL
The Company
HQ: San Francisco, CA
1,200 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

HashiCorp was founded by Mitchell Hashimoto and Armon Dadgar in 2012 with the goal of revolutionizing datacenter management: application development, delivery, and maintenance. The datacenter of today is very different than the datacenter of yesterday, and we think the datacenter of tomorrow is just around the corner.

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