Kainos Innovative Solutions
Databricks Administrator - Washington, DC
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Administrator in Washington, DC, with a contract length of "unknown" and a pay rate of "unknown." Requires 10+ years in cloud/data platform administration, 4+ years with Databricks, and relevant certifications. Key skills include SQL, AWS, automation, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Washington DC-Baltimore Area
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🧠 - Skills detailed
#Scala #REST (Representational State Transfer) #Automation #IAM (Identity and Access Management) #CLI (Command-Line Interface) #Data Engineering #Classification #Metadata #GIT #Infrastructure as Code (IaC) #Debugging #S3 (Amazon Simple Storage Service) #Data Governance #Python #Compliance #Security #VPC (Virtual Private Cloud) #Data Pipeline #Cloud #Scripting #Logging #Deployment #Storage #GitLab #DevOps #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #REST API #Data Integration #SQL (Structured Query Language) #Monitoring #Databricks #Terraform
Role description
• Hands-on experience administering Databricks (workspace administration, clusters/compute policies, jobs, SQL warehouses, repos, runtime management) and expertise using Databricks CLI.
• Strong Unity Catalog administration: metastores; catalogs/schemas; grants; service principals; external locations; storage credentials; governed storage access.
• Identity & Access Management proficiency: SSO concepts, SCIM provisioning, group-based RBAC, service principals, and least-privilege patterns.
• Security fundamentals: secrets management, secure connectivity, audit logging, access monitoring, and evidence-ready operations.
• Cloud platform expertise (AWS ): IAM roles/policies, object storage security patterns,
• networking basics (VPC concepts), logging/monitoring integration.
• Automation skills: scripting and/or IaC using Terraform/CLI/REST APIs for repeatable configuration and environment promotion.
• Experience implementing data governance controls (classification/tagging, lineage/metadata integrations) in partnership with governance teams.
• CI/CD practices for jobs/notebooks/config promotion across SDLC environments.
• Understanding of lakehouse concepts (e.g., Delta, table lifecycle management, separation of storage/compute).
• SQL proficiency and data engineering fundamentals for troubleshooting query performance issues, understanding ETL/ELT workflow patterns, and debugging data pipeline failures; basic Python/Scala familiarity for notebook/code issue diagnosis.
• Experience with compliance and regulatory frameworks (FedRAMP, HIPAA, SOC2, or similar), including implementation of data residency requirements, retention policies, and audit-ready evidence collection.
• Hands-on experience with AWS security and networking services, including PrivateLink, Secrets Manager/Systems Manager integration, CloudWatch/CloudTrail integration, S3 bucket policies, cross-account access patterns, and KMS encryption key management.
• Experience administering Databricks serverless compute, Workspace Git integrations (GitLab), Databricks Asset Bundles (DABs) for deployment automation, and modern workspace features supporting DevOps workflows.
• SLA/SLO management and stakeholder communication skills; ability to define platform service levels, produce operational reports, translate technical issues to business stakeholders, and manage vendor relationships (Databricks account teams).
Qualifications:
• Bachelor’s degree in a related field or equivalent practical experience.
• 10+ years in cloud/data platform administration and operations, including 4+ years supporting Databricks or similar platforms.
• Databricks Platform Administrator/Databricks AWS Platform Architect
• Databricks Certified Data Engineer Associate/Professional
• AWS Certified Solutions Architect Associate or Professional
• Hands-on experience administering Databricks (workspace administration, clusters/compute policies, jobs, SQL warehouses, repos, runtime management) and expertise using Databricks CLI.
• Strong Unity Catalog administration: metastores; catalogs/schemas; grants; service principals; external locations; storage credentials; governed storage access.
• Identity & Access Management proficiency: SSO concepts, SCIM provisioning, group-based RBAC, service principals, and least-privilege patterns.
• Security fundamentals: secrets management, secure connectivity, audit logging, access monitoring, and evidence-ready operations.
• Cloud platform expertise (AWS ): IAM roles/policies, object storage security patterns,
• networking basics (VPC concepts), logging/monitoring integration.
• Automation skills: scripting and/or IaC using Terraform/CLI/REST APIs for repeatable configuration and environment promotion.
• Experience implementing data governance controls (classification/tagging, lineage/metadata integrations) in partnership with governance teams.
• CI/CD practices for jobs/notebooks/config promotion across SDLC environments.
• Understanding of lakehouse concepts (e.g., Delta, table lifecycle management, separation of storage/compute).
• SQL proficiency and data engineering fundamentals for troubleshooting query performance issues, understanding ETL/ELT workflow patterns, and debugging data pipeline failures; basic Python/Scala familiarity for notebook/code issue diagnosis.
• Experience with compliance and regulatory frameworks (FedRAMP, HIPAA, SOC2, or similar), including implementation of data residency requirements, retention policies, and audit-ready evidence collection.
• Hands-on experience with AWS security and networking services, including PrivateLink, Secrets Manager/Systems Manager integration, CloudWatch/CloudTrail integration, S3 bucket policies, cross-account access patterns, and KMS encryption key management.
• Experience administering Databricks serverless compute, Workspace Git integrations (GitLab), Databricks Asset Bundles (DABs) for deployment automation, and modern workspace features supporting DevOps workflows.
• SLA/SLO management and stakeholder communication skills; ability to define platform service levels, produce operational reports, translate technical issues to business stakeholders, and manage vendor relationships (Databricks account teams).
Qualifications:
• Bachelor’s degree in a related field or equivalent practical experience.
• 10+ years in cloud/data platform administration and operations, including 4+ years supporting Databricks or similar platforms.
• Databricks Platform Administrator/Databricks AWS Platform Architect
• Databricks Certified Data Engineer Associate/Professional
• AWS Certified Solutions Architect Associate or Professional
