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Databricks Architect

PeopleNTech LLCAlexandria, VA

$70 - $75 / hour

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Overview

Remote
On-site
Compensation
$70-$75/hour

Job Description

Role : Databricks Architect

Location : Warren, NJ (Hybrid)

Rate: $70/hr to $75/hr

We are seeking an experienced Databricks Architect to design and deliver scalable, secure data and AI platforms on the Databricks Lakehouse. The role will define target architecture, establish engineering standards, and guide implementation of data ingestion, transformation, governance, performance optimization, and production operations. The architect will partner with client stakeholders, data engineers, analysts, security teams, and vendors to translate business needs into robust technical solutions. Key responsibilities include solution design, technology evaluation, architecture reviews, reusable frameworks, cost optimization, CI/CD, monitoring, and technical mentoring. The ideal candidate has 12–15 years of experience, strong Databricks and cloud architecture expertise, knowledge of Spark, Delta Lake, Unity Catalog, SQL and Python, and excellent communication and stakeholder-management skills. Exposure to GenAI solution patterns and enterprise architecture principles is preferred.

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FAQs About Databricks Architect Jobs at PeopleNTech LLC

What is the work location for this position at PeopleNTech LLC?
This job at PeopleNTech LLC is located in Alexandria, VA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at PeopleNTech LLC?
Candidates can expect a pay range of $70–$75 per hour for this role.
What employment applies to this position at PeopleNTech LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at PeopleNTech LLC?
You can apply for this role at PeopleNTech LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.