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Principal Data Architect — Databricks Enablement

4 hours, 35 minutes ago
Brazil
Full-time
Lead
Data Architect
Data Science and Analytics
Apache Spark AWS Databricks Generative AI Machine Learning Matplotlib MLOps NumPy Pandas Python Terraform
Apply Now
Caylent

Caylent

Caylent is a cloud native services company that simplifies AWS cloud adoption with a user-friendly DevOps platform for scalable cloud environments.

IT Services
251-1K
Founded 2015
$16M raised
View All Jobs 21

Description

  • Define strategic Databricks adoption roadmaps, guardrails, self-service maturity models, and use-case prioritization plans for clients.
  • Embed with client business and engineering teams to implement high-priority use cases hands-on and progressively transition them to self-service.
  • Translate client needs into feature requests and guardrail requirements for the platform and foundation team.
  • Act as a data engineering subject matter expert in pre-sales and scoping discussions.
  • Coach and upskill client architects, engineers, and business technologists on Databricks best practices and self-service tooling.
  • Oversee the development of data standards, operating procedures, and semantic and lineage layers for scalable governance.
  • Perform technical interviews for Architect and Engineer candidates and provide mentorship across the practice.
  • Build trusted relationships with client technical and business leadership while balancing governance, speed, and autonomy.

Requirements

  • 10 years of experience designing and building complex data systems.
  • Experience with relational database design, optimization, and migration.
  • Experience with data modeling for transactional and analytics systems, including industry-standard data models.
  • Experience with BI dashboards and visualizations.
  • Experience with data governance and MDM.
  • Experience with big data processing using Spark, streaming solutions, and NoSQL.
  • Experience with machine learning and MLOps.
  • Experience with GenAI foundational models and related approaches and frameworks.
  • Experience with DataOps practices such as Infrastructure as Code, data testing, and data versioning.
  • Deep, hands-on Databricks experience, including workspace/persona architecture, Unity Catalog, lakehouse design patterns, job orchestration, and Databricks-native governance and AI/ML tooling.
  • Experience working in a forward-deployed or embedded delivery model.
  • Experience with at least two of the following: Terraform, CI/CD pipelines and tools, or Python for analytics and automation.
  • Strong drive to standardize and document solutions.
  • Excellent written and verbal communication skills with high tolerance for ambiguity.
  • At least 4 years of experience in the AWS data landscape.
  • 5+ years of deep, hands-on Databricks experience.
  • Ability to translate ambiguous business requests into scoped technical work and communicate trade-offs to engineers and VP-level leadership.
  • Preferred: prior experience in a platform plus use-case hub-and-spoke delivery model.
  • Preferred: background in consulting, systems integration, or professional services.
  • Preferred: familiarity with SOW-based, time-and-materials delivery and scope management.

Benefits

  • 100% remote work.
  • Generous holidays and flexible PTO.
  • Competitive phantom equity.
  • Paid exams and certifications.
  • Peer bonus awards.
  • State-of-the-art laptop and tools.
  • Equipment and office stipend.
  • Individual professional development plan.
  • Annual learning and development stipend.
  • Up to 25% travel depending on business needs.

Interested in this position?

Apply directly on the company website

Apply Now

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