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Principal Data Architect – Databricks Enablement

Caylent

Nuevo Remote
Remote Senior 🇬🇧 English
Databricks AWS Spark Python Terraform CI/CD DataOps MLOps GenAI

Descripcion del puesto

About the role

Cayet is seeking a Principal Data Architect with deep Databricks expertise to lead high‑visibility data platform engagements for enterprise clients. The role blends architectural depth with a forward‑deployed engineering mindset, guiding clients from initial use‑case delivery to self‑service maturity.

Key responsibilities

  • Define strategic roadmaps and Databricks adoption plans, including platform guardrails and self‑service maturity models.
  • Embed with client business and engineering teams to deliver priority use cases hands‑on, then transition them to self‑service.
  • Translate client needs into concrete feature requests and guardrail requirements for the platform team.
  • Act as a data engineering SME in pre‑sales, shaping engagement approaches and staffing.
  • Coach client architects and engineers on Databricks best practices, patterns, and tooling.
  • Oversee development of data standards, operating procedures, and semantic/lineage layers for governance.

Required profile

  • 10+ years designing and building complex data systems, including relational databases, data modeling, BI, governance, and big‑data processing.
  • 5+ years hands‑on Databricks experience covering workspace architecture, Unity Catalog, lakehouse patterns, and AI/ML tooling.
  • Strong business acumen to translate ambiguous business requests into scoped technical work.
  • Experience embedding with client teams early in engagements and shifting to self‑service.
  • Excellent written and verbal communication with high tolerance for ambiguity.

Required skills

  • Databricks (workspace, Unity Catalog, lakehouse design, job orchestration)
  • AWS data services (4+ years)
  • Apache Spark, streaming, NoSQL
  • Python (analytics libraries)
  • Terraform (IaC)
  • CI/CD pipelines
  • DataOps practices (IaC, testing, versioning)
  • Machine learning, MLOps, GenAI foundational models

What we offer

  • USD‑based compensation and 100% remote work
  • Generous holidays, flexible PTO, and equipment stipend
  • Competitive phantom equity and peer bonus awards
  • Paid exams, certifications, and annual learning & development stipend
  • Opportunity to work with a global, inclusive team

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Publicado hace 4 días

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