

Principal Databricks Architect - Databricks Data Engineer Professional Certification
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Databricks Architect, offering a 12-month remote contract at a pay rate of "unknown." Candidates must have a "Databricks Data Engineer Professional certification," 10+ years in data engineering and consulting, and experience with cloud data architectures.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 8, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
-
π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Consulting #Data Modeling #Big Data #Cloud #Data Transformations #Data Management #GCP (Google Cloud Platform) #Azure #Databricks #Data Engineering #Data Migration #Migration #Data Architecture #Leadership #MDM (Master Data Management) #AWS (Amazon Web Services) #Data Integration #Data Governance
Role description
Position: Principal Databricks Architect
Location: Remote
Duration: 12 Months Contract
USC/GC/TN Permit/ Refugee/Asylee are advised to apply for this role
Note: Candidate must have "Databricks Data Engineer Professional certification"
Job Responsibilities
β’ Candidate will be a core member of our rapidly growing Databricks practice
β’ Will work directly with end customers and architect, scope, negotiate & lead enterprise scale Databricks migration projects
β’ Will provide thought leadership in the areas of data migration, master data management, data modeling, data governance, data transformations, curation and data integration
β’ Will develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization
β’ Able to grow the practice by influencing sales deals and assist with scoping, solutioning and estimating effort
β’ Will lead efforts to develop reusable frameworks, accelerators and internal product development
β’ Will help us to hire, train and develop highly differentiated and diverse team of Big Data experts
Requirement
β’ 10+ yearsβ experience of data engineering, data platforms & analytics.
β’ 10+ years of consulting experience.
β’ Minimum 6-8+ projects delivered with hands-on experience in development on databricks.
β’ Current knowledge across the Databricks product & platform features - and/ or complete Databricks Data Engineering Professional Certification (upon joining).
β’ Deep understanding and experience working with modern cloud data architectures and engineering for one or more of the common cloud ecosystems - AWS, Azure or GCP.
Position: Principal Databricks Architect
Location: Remote
Duration: 12 Months Contract
USC/GC/TN Permit/ Refugee/Asylee are advised to apply for this role
Note: Candidate must have "Databricks Data Engineer Professional certification"
Job Responsibilities
β’ Candidate will be a core member of our rapidly growing Databricks practice
β’ Will work directly with end customers and architect, scope, negotiate & lead enterprise scale Databricks migration projects
β’ Will provide thought leadership in the areas of data migration, master data management, data modeling, data governance, data transformations, curation and data integration
β’ Will develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization
β’ Able to grow the practice by influencing sales deals and assist with scoping, solutioning and estimating effort
β’ Will lead efforts to develop reusable frameworks, accelerators and internal product development
β’ Will help us to hire, train and develop highly differentiated and diverse team of Big Data experts
Requirement
β’ 10+ yearsβ experience of data engineering, data platforms & analytics.
β’ 10+ years of consulting experience.
β’ Minimum 6-8+ projects delivered with hands-on experience in development on databricks.
β’ Current knowledge across the Databricks product & platform features - and/ or complete Databricks Data Engineering Professional Certification (upon joining).
β’ Deep understanding and experience working with modern cloud data architectures and engineering for one or more of the common cloud ecosystems - AWS, Azure or GCP.