Senior Databricks Platform Architect for Lakehouse & AI

INSPYR Solutions

Pasadena (CA)

On-site

USD 165,000 - 248,000

Full time

2 days ago
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Job summary

INSPYR Solutions is seeking an experienced Databricks Solutions Architect to lead design, architecture, and modernization of an enterprise data platform. You will guide secure, governed Databricks implementations, mentor teams, and establish architecture standards across on-prem and cloud environments.

The ideal candidate has hands-on experience with Delta Lake, Unity Catalog, Lakeflow, and AI/ML capabilities, and a track record of migrating legacy data environments to lakehouse architectures.

Qualifications

  • 7+ years designing, building, and operating enterprise Databricks environments.
  • Hands-on experience with Delta Lake, Unity Catalog, Spark, and Databricks tools.
  • Experience migrating enterprise data platforms to Databricks.
  • Strong cloud architecture and security knowledge (AWS/Azure).
  • Ability to mentor engineers and lead architectural reviews.
  • Excellent communication and stakeholder management.

Responsibilities

  • Serve as technical advisor for Databricks reference architecture.
  • Design end-to-end Databricks data platform solutions.
  • Architect batch and real-time streaming pipelines.
  • Lead migrations from legacy systems to Databricks.
  • Establish secure, governed architectures and policy compliance.
  • Mentor data teams and participate in architecture reviews.
  • Evaluate new Databricks capabilities and adoption strategies.

Skills

Databricks
Python
SQL
Apache Spark
Cloud architecture
Governance
Stakeholder management

Education

Bachelor's degree in a relevant field

Tools

Delta Lake
Unity Catalog
Lakeflow
Databricks SQL
MLflow
Mosaic AI

Job description

INSPYR Solutions is seeking an experienced Databricks Solutions Architect to lead design, architecture, and modernization of an enterprise data platform. You will guide secure, governed Databricks implementations, mentor teams, and establish architecture standards across on-prem and cloud environments.

The ideal candidate has hands-on experience with Delta Lake, Unity Catalog, Lakeflow, and AI/ML capabilities, and a track record of migrating legacy data environments to lakehouse architectures.

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