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Assistant Databricks Architect information

What is the difference between Assistant Databricks Architect vs Data Engineer?

AspectAssistant Databricks ArchitectData Engineer
Primary FocusDesigning and supporting Databricks architecture and solutionsBuilding, maintaining, and optimizing data pipelines and databases
Required SkillsDatabricks platform knowledge, cloud services, architecture designSQL, ETL, programming (Python, Spark), data modeling
CertificationsDatabricks certifications, cloud certifications (AWS, Azure)None specific, but certifications like Google Cloud Data Engineer are common
Work EnvironmentCloud-based data platforms, collaborative teamsData warehouses, cloud or on-premises environments

The Assistant Databricks Architect focuses on designing and supporting Databricks solutions, while Data Engineers build and maintain data pipelines. Both roles require cloud and data platform knowledge, but the Architect emphasizes architecture design, whereas Data Engineers focus on data processing and pipeline development.

What are the most commonly searched types of Databricks Architect jobs in Washington? The most popular types of Databricks Architect jobs in Washington are:
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Assistant Databricks Architect jobs near you
Infographic showing various Assistant Databricks Architect job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Mid Data Architect / Data Scientist

Chenega MIOS SBU

Arlington, VA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Chenega MIOS SBU is a company that supports large-scale government operations by leveraging cutting-edge technology. They are seeking a Mid-Level Data Architect / Data Scientist to support the development and implementation of enterprise data architectures and analytics solutions for CDAO data-driven mission initiatives.
Responsibilities:
• Support development of scalable data architectures supporting analytics and AI initiatives.
• Design and maintain data pipelines and data processing workflows.
• Support development and deployment of machine learning and analytics models.
• Assist with the integration of multiple enterprise data sources and platforms.
• Support development of data governance and metadata management processes.
• Perform exploratory data analysis and support mission analytics activities.
• Collaborate with engineers and data scientists to deliver analytics solutions
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
• 4+ years of experience in data engineering, data science, or analytics.
• Experience with data analytics tools, cloud data platforms, or machine learning frameworks.
• Active Secret security clearance required (or higher).
Preferred:
• Master Degree Preferred
• Experience supporting DoD, CDAO, Joint Staff, or federal data modernization initiatives, including AI/ML, advanced analytics, and enterprise data management programs.
• Experience with cloud-based analytics and data engineering platforms such as AWS, Azure, Databricks, Snowflake, Python, Spark, TensorFlow, PyTorch, or similar technologies, and relevant certifications such as Azure Data Engineer Associate, AWS Data Analytics Specialty, or equivalent.
Company:
Chenega MIOS (Military, Intelligence, and Operations Support) brings together a family of high‑performing companies united by a common purpose: supporting the most critical missions of the federal government, the Department of Defense, and the Intelligence Community. Founded in 1974, the company is headquartered in Anchorage, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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