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Part Time Databricks Architect Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Experience with Databricks * Experience writing software in programming languages, including Python ... Cloud Development Certification, including AWS Solutions Architect or Azure Certification

MTA Headquarters

Manager, HR Data Engineer

New York, NY · Hybrid

$110K - $123K/yr

People Department WORK LOCATION: 2 Broadway FULL/PART-TIME FULL SALARY RANGE: $110,000 - $123,000 ... project/architecture design review. * Proficient knowledge of Azure Data Factory, Databricks ...

Booz Allen Hamilton, Inc.

Data Scientist

Suffolk, VA · On-site +1

$77K - $176K/yr

Design and implement effective AI solution architecture utilizing approaches of various AI ... Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ...

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All JobsDatabricks Architect JobsPart Time Databricks Architect Jobs

Part Time Databricks Architect information

What is the difference between Part Time Databricks Architect vs Part Time Data Engineer?

AspectPart Time Databricks ArchitectPart Time Data Engineer
Primary FocusDesigning and architecting Databricks solutionsBuilding and maintaining data pipelines and workflows
Required SkillsDatabricks platform expertise, cloud architecture, SQL, SparkETL development, SQL, Spark, Python, data modeling
CertificationsDatabricks certifications, cloud certificationsNone specific, but relevant certifications helpful
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks closely with data analysts and data scientists

While both roles involve working with Databricks and cloud data platforms, the Part Time Databricks Architect focuses on designing scalable data solutions, whereas the Part Time Data Engineer concentrates on implementing and maintaining data pipelines. Understanding these differences helps in choosing the right role based on your skills and career goals.

What skills and qualifications are needed to thrive as a part time Databricks architect?

To thrive as a Part Time Databricks Architect, you need expertise in data engineering, cloud platforms (especially Azure or AWS), distributed computing, and a strong foundation in Spark and big data technologies, usually backed by a relevant degree and industry experience. Familiarity with Databricks, Python, SQL, and data pipeline orchestration tools, as well as relevant certifications like Databricks Certified Data Engineer, are typically expected. Strong problem-solving, effective communication, and the ability to collaborate with cross-functional teams set candidates apart. These skills are crucial for designing scalable data solutions and ensuring seamless integration and performance in complex business environments.

What is a part time Databricks architect?

Part time Databricks Architects are professionals who work on a flexible or reduced hour schedule to design, build, and optimize data solutions using the Databricks platform. They are responsible for architecting data pipelines, ensuring data security, and integrating Databricks with other cloud services, typically within a limited number of hours per week. These roles are ideal for organizations that need specialized Databricks expertise on a project or consulting basis, rather than a full-time commitment. Part time Databricks Architects often work remotely and may support multiple clients or projects simultaneously.

What does a part time Databricks architect do?

As a Part Time Databricks Architect, you are often responsible for designing scalable data solutions, optimizing cloud data pipelines, and advising on best practices for integrating Databricks into existing systems. Despite the part-time nature, you regularly collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions. Communication and coordination are key, as you'll need to ensure your architectural decisions align with the broader team's goals while managing your time effectively across multiple projects or clients.
More about Part Time Databricks Architect jobs
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Part Time Databricks Architect jobs near you
Infographic showing various Part Time Databricks Architect job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution.

IT Specialist (DATAMGT)

US Department of the Treasury

Birmingham, AL • Hybrid

$106K/yr

Full-time, Part-time

Posted 25 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

310th of 844 rated public administrative organizations

Job description

This position is located at Bureau of the Fiscal Service, Office of the Chief Data Officer. As an IT Specialist (DATAMGT), you will be implementing the Bureau's data strategy, which includes expanding its Fiscal Data Hub. The Fiscal Data Hub offers a cloud-native sandbox environment backed by Databricks and AWS designed for exploring, integrating, and predictive modeling on billions of structured records.

Qualifications:You must meet the following requirements by the closing date of this announcement.
The experience may have been gained in either the public, private sector or volunteer service. One year of experience refers to full-time work; part-time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week on your resume.
For the GS-13, you must have one year (full 52 weeks) of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position is defined as:
- Leading enterprise data engineering modernization across cloud, hybrid, multi-cloud, or large-scale data environments. AND
- Establishing architecture standards and reusable patterns for data integration, governance, metadata, virtualization, data mesh, automation, and cloud migration. AND
- Advising technical teams, leaders, and stakeholders on platform strategy, scalable pipelines, APIs, data services, ETL/ELT, data quality, security, AI-ready data, and AWS or Azure implementation.
In addition to meeting specialized experience, at the GS-13 level, individuals must have experience demonstrating each of the following competencies: Attention to Detail, Customer Service, Decision Making, Information Management, Interpersonal Skills, Oral Communication, Problem Solving, Teamwork, and Technical Competence.
A work sample may be used to determine if you meet the required proficiency levels.
You will receive a sample job task or scenario to complete; or you will provide a writing sample.
For the required proficiency levels and competency definitions, please see the following link: Competency-Based Qualification Standard for the Information Technology Management Series, 2210
For Phase 2, you will access the exclusive link to complete the manual assessment provided at the end of the questionnaire.Education:
Employment Type: OTHER

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