Senior Databricks Architect — AI-First Cloud (Remote)

Caylent; Philippines; Remote; MXN 2,383,000 - 3,064,000; Full time

Benefits offered by this job

Medical Insurance for you and dependas

Generous holidays

Learning & Development stipend

Equipment & Office stipend

Global remote culture

Job summary

Caylent is seeking a Principal Data Architect with deep Databricks expertise to lead high-visibility data platform engagements for enterprise clients. You will define guardrails and standards, and work hands-on with client teams to implement priority use cases, teaching as you build so clients become self-serve.

You will influence platform governance and drive scalable data solutions. The role blends architectural depth with forward-deployed engineering mindset, guiding data standards, semantic

Qualifications

• 10+ years designing and building complex data systems.
• Deep Databricks experience with Unity Catalog and governance.
• Experience translating business needs into technical requirements.
• Strong communication and stakeholder management skills.

Responsibilities

• Define strategic data platform roadmaps and Databricks adoption plans.
• Embed with client teams to implement high-priority use cases.
• Translate client needs into concrete platform requirements.
• Coach client architects and engineers on best practices.
• Oversee data standards and semantic/lineage layers across the platform.

Skills

Databricks

Data Architecture

AWS

Python

SQL

Data Modeling

MLOps

GenAI / Generative AI

Tools

Terraform

CI/CD

Python pandas/numpy

Airflow

Job description

Caylent is seeking a Principal Data Architect with deep Databricks expertise to lead high-visibility data platform engagements for enterprise clients. You will define guardrails and standards, and work hands-on with client teams to implement priority use cases, teaching as you build so clients become self-serve.

You will influence platform governance and drive scalable data solutions. The role blends architectural depth with forward-deployed engineering mindset, guiding data standards, semantic