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Databricks Architect Jobs in Washington (NOW HIRING)

Mindlance

Databricks Architect

Washington, DC · On-site

$73.25 - $96.25/hr

Databricks Architect Duration: 6 Months - Long Term Location: Washington, DC 20433 Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon. Job Summary We ...

eSolutionsFirst, LLC

Databricks Solutions Architect

Vienna, VA · On-site

$63.25 - $83.25/hr

Solutions Architect - Databricks 12 Months contract - Extension Location: Vienna, VA 22182 : * As a Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will ...

BLN24

Data Lead

Mclean, VA · On-site

Lead the design of a Medallion Architecture (Bronze/Silver/Gold) on Databricks * Architect and maintain Vector Databases * Develop data pipelines and ETL operations * Experience creating ...

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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

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

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
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Databricks Architect jobs near you
Databricks Architect

Databricks Architect

Mindlance

Washington, DC • On-site

$73.25 - $96.25/hr

Other

Re-posted 20 days ago

Job description

Job Title: Databricks Architect

Duration: 6 Months – Long Term

Location: Washington, DC 20433

Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.

Job Summary

We are looking for a dynamic Databricks Architect with a strong application development background and hands-on expertise in Databricks. The ideal candidate should have 10-15 years of experience, including at least 2-4 years in an architecture role, and a proven ability to design and build scalable, high-performance data and application solutions.

  • Design and architect scalable data and application solutions using Databricks.
  • Lead end-to-end solution design, including data pipelines, APIs, and application integration.
  • Experience with Delta Lake, Unity Catalog, and Databricks Lakehouse architecture.
  • Exposure to API development, microservices, and modern application frameworks.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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