Senior Databricks Architect

New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
SQLMLFlowTerraformScalaData modelingDatabricksPySpark

Requirements

  • 5+ years of experience in data engineering or data architecture.
  • 3+ years of hands-on Databricks experience, including PySpark, SQL, and Scala.
  • Proven experience integrating Databricks with Braze or similar martech platforms.
  • Deep expertise in Delta Lake, Unity Catalog, Delta Live Tables, structured streaming, and MLflow.
  • Strong data modeling skills across medallion architecture, Star Schema, and Data Vault.
  • Cloud platform experience across AWS, Azure, or GCP.
  • Proficiency in IaC tooling such as Terraform and ARM templates.
  • Track record of leading and mentoring engineering teams in consulting environments.
  • Client-facing experience within an agency or consultancy required.

Responsibilities

  • Lead and drive client working sessions focused on data architecture and data mapping.
  • Design and own end-to-end Databricks Lakehouse architecture.
  • Design integrations between Databricks and martech platforms (Braze, CDPs, etc.).
  • Design and implement robust data models—including medallion architecture, Star Schema, and Data Vault.
  • Enable marketers to query data conversationally using Databricks Genie.
  • Support the design and implementation of AI agents.
  • Architect data governance, security, and access control policies using Unity Catalog.
  • Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps.
  • Partner with clients on roadmaps, POCs, and migrations; support pre-sales efforts.
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