Lead Databricks Architect for AWS Lakehouse Platform

Theoris

Indianapolis (IN)

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Robust Health Insurance
401(k) plan
Excellent referral program

Job summary

Theoris is seeking a Lead Databricks Architect to drive architecture, governance, and modernization of an enterprise Databricks platform on AWS. The role requires leading multiple enterprise-scale implementations and migrating AWS data lakes to a unified Lakehouse.

Responsibilities include designing config-driven pipelines, advancing Lakeflow pipelines, and establishing platform standards across workspaces, with emphasis on security, compliance, and scalable engineering practices in a regulated

Qualifications

  • Extensive Databricks architecture experience in AWS environments.
  • Proven experience leading multiple enterprise Databricks implementations.
  • Experience architecting Databricks environments containing multiple workspaces.
  • Direct experience leading AWS Glue-to-Databricks migrations.
  • Experience migrating PostgreSQL workloads into Databricks.

Responsibilities

  • Design and lead metadata-driven ingestion pipelines on Databricks on AWS with Unity Catalog.
  • Develop and maintain Lakeflow Declarative Pipelines and CDC patterns.
  • Guide migration strategies and governance across multiple Databricks workspaces.
  • Create platform accelerators, reference architectures, and deployment patterns.

Skills

Databricks Architecture
AWS Expertise
Unity Catalog
Delta Lake
Terraform
CI/CD
Data Governance
Python/PySpark
Security & Compliance
Migrations

Education

Bachelor's degree in Computer Science or related

Tools

Databricks
Terraform
CloudFormation
GitHub Actions
Python

Job description

Theoris is seeking a Lead Databricks Architect to drive architecture, governance, and modernization of an enterprise Databricks platform on AWS. The role requires leading multiple enterprise-scale implementations and migrating AWS data lakes to a unified Lakehouse.

Responsibilities include designing config-driven pipelines, advancing Lakeflow pipelines, and establishing platform standards across workspaces, with emphasis on security, compliance, and scalable engineering practices in a regulated

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