2

Part Time Databricks Architect Jobs (NOW HIRING)

$257K/yr

Experience with COTS data platform technology, such as Palantir, Databricks, or Cloudera ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Platform Architect

Ashburn, VA · On-site

$112K - $257K/yr

... Databricks * Experience with the Amazon AI tools * Knowledge of LLMs and model evaluation or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$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 ...

Develop scalable data pipelines and ingestion frameworks leveraging medallion architecture ... Experience working with Azure Databricks and Spark-based pipelines. * Expertise in defining and ...

next page

Showing results 1-20

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 are the key skills and qualifications needed to thrive as a Part Time Databricks Architect, and why are they important?

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 are part time Databricks Architects?

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 are the typical project responsibilities for a Part Time Databricks Architect, and how does the role collaborate with cross-functional teams?

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
What cities are hiring for Part Time Databricks Architect jobs? Cities with the most Part Time Databricks Architect job openings:
What are the most commonly searched types of Databricks Architect jobs? The most popular types of Databricks Architect jobs are:
What states have the most Part Time Databricks Architect jobs? States with the most job openings for Part Time Databricks Architect jobs include:
Infographic showing various Part Time Databricks Architect job openings in the United States as of June 2026, with employment types broken down into 33% As Needed, and 67% Full Time. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Database Warehouse Architect

Database Warehouse Architect

ISHIR

Dallas, TX

Part-time

Posted 15 days ago


Job description

Job Title - Database Warehouse Architect (Fractional)

Work Mode- Dallas/Fort Worth/Austin (Texas)

Job Description:

We are seeking a senior, solution-oriented Data Warehousing & Lakehouse Architect to engage on an on-demand consulting basis. This role is designed for an expert who stays current with modern data warehousing trends and has deep hands-on expertise in Databricks-led lakehouse architectures. The consultant will advise on architecture, design scalable data platforms, lead solution discovery, and guide engineering teams. This is not a full-time or staff-augmentation role; it is a high-impact advisory and solution-architecture engagement focused on clarity, correctness, and execution readiness.
Required Experience :

  • Senior-level experience in Data Warehousing and Lakehouse Architecture.Deep, hands-on expertise with Databricks (Apache Spark, Delta Lake, Lakehouse patterns).
  • Strong experience designing cloud-native data platforms on AWS, Azure, or GCP.
  • Solid understanding of modern data warehousing trends, including:
    o Lakehouse architectures
    o Open table formats (Delta Lake, Iceberg, Hudi)
    o Decoupled storage & compute
    o Cost and performance optimization strategies
  • Strong knowledge of ETL/ELT pipelines, SQL, and analytical data modeling.
  • Experience with data governance, security, metadata, and access controls.
  • Ability to work independently and provide high-quality architectural guidance on demand.
  • Strong communication skills with a solution-first, advisory mindset.

Responsibilties:

  • Provide on-demand architectural leadership for data warehousing and lakehouse initiatives.
  • Design and review modern lakehouse architectures with Databricks at the core.
  • Translate business, analytics, and AI requirements into scalable, cost-efficient data
    solutions.
  • Lead architecture discovery sessions and solution design workshops.
  • Define best practices for data ingestion, transformation, and modeling (ETL/ELT).
  • Guide implementation of Databricks (Spark, Delta Lake, Unity Catalog) and Snowflake where applicable.
  • Ensure data quality, governance, security, and performance optimization.
  • Perform architecture reviews, feasibility assessments, and modernization recommendations.
  • Advise teams on data platform choices, trade-offs, and long-term scalability.
  • Collaborate with data engineers, analytics teams, and stakeholders in a consultative
    advisory capacity.
  • Stay ahead of emerging data warehousing and lakehouse trends, recommending
    practical adoption paths

Preferred Certifications:

  • Databricks Certified Professional (highly preferred)
  • Cloud Certification (AWS, Azure, or GCP)
  • Snowflake Certification - nice to have

    Nice to have:

  • Experience with streaming / real-time data architectures.
  • Exposure to BI and analytics platforms (Power BI, Tableau, Looker).
  • Experience supporting AI / ML and GenAI workloads on Databricks.
  • Prior consulting or fractional architect experience.
    What This Role Is (and Is Not)
    This role is:
  • On-demand, flexible, and outcome-driven Architecture and solution focused
  • Ideal for senior consultants or fractional architects
    This role is not:
  • A full-time employment role
  • A pure data engineering or operations role
  • A staff-augmentation position
    ABOUT ISHIR
    ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI.
    We are not just consultants, we are partners in our clients success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes.
    At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies.
    As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR.
    ISHIR attracts a special type of individual someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.
Employment Type: PART_TIME