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Part Time Databricks Architect Jobs (NOW HIRING)

Conflux Systems

Databricks Engineer

Phoenix, AZ · On-site

Inform the candidate that they must not have any other part-time or full-time employment while ... This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta ...

Exavalu

MDM Architect

Exposure to Databricks, Snowflake, or Microsoft Fabric . * Knowledge of API-based integrations and ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

BOOZ, ALLEN & HAMILTON, INC.

$86K - $198K/yr

Experience with data lake and analytics platforms such as Databricks, Apache Iceberg, and Snowflake ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

... data architecture, Databricks administration, and cloud-based data platforms, or 11+ years of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Bechtel

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... Builds, implements and optimises ETL and ELT pipelines using Databricks, Fabric Data Factory ...

Bechtel

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... Implements and optimises ETL and ELT pipelines using Databricks, Fabric Data Factory, Dataflows ...

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Part Time Databricks Architect information

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.

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 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.

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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 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution.

Databricks Engineer

Phoenix, AZ • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

Full-time, Part-time

Posted 5 days ago

Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

Client Name - AMEX
Glow - 3ET0JY
Posman - 134667
Role / Skills - Databricks Engineer
Rate - USD $52
Location - Pheonix - Day 1 Onsite - min 3 days a week.
JD - Confirm / share us the complete JD and lets us know if anything specific:
Databricks Engineer
Role Overview
We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.
Key Responsibilities
  • Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
  • Lead implementation of:
  • Cloud-based data lakehouse platforms integrating diverse data sources.
  • Real-time data processing pipelines for operational and analytical use cases.
  • Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
  • Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
  • Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
  • Establish data quality frameworks and governance standards.
  • Implement and manage Unity Catalog, including fine-grained security and access controls.
  • Leverage Databricks components such as:
  • Delta Live Tables
  • Autoloader
  • Structured Streaming
  • Databricks Workflows
  • Integration with orchestration tools (e.g., Apache Airflow)
  • Drive CI/CD automation, deployment strategies, and DevOps best practices.
  • Optimize performance of pipelines, Spark jobs, and compute resources.
  • Provide architectural guidance and technical leadership across cross-functional teams.
  • Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in:
  • Databricks and cloud-native storage/compute platforms
  • Apache Spark (batch & streaming)
  • Delta Lake & Lakehouse architecture
  • Distributed data processing systems
  • Strong hands-on programming skills in Python, PySpark, Scala, and SQL.

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