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Databricks Architect

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Job Description

Job Description
Job ID: 749745
Title: Databricks Architect
Client: State of North Carolina NCDOT
Location: Raleigh, NC (Hybrid)
Databricks Certifications in MUST
Job Description
**The candidate must come onsite on the first day to collect equipment.**
**All candidates must be local to the Triangle region of North Carolina, and posting may require up to 1-2 days per month in a Triangle area office for meetings.**
NCDIT-Transportation Database Team seeks a Databricks Administrator/Architect with proven skills for a 12-month engagement for creation/tuning support of the Databricks environment. This position will be responsible for developing and designing the Databricks environment at NCDIT-T. This individual will work with internal staff to plan/design/maintain the Databricks environment and recommend changes needed to accommodate/grow as our business needs dictate. This individual will facilitate changes through DIT-T s change process and work very closely with the DBA Development Staff regarding all aspects of the design and planning of the Databricks environment.
Responsibilities:
  • Provide mentorship, guidance, overall knowledge share, and support to team members, promoting continuous learning and development.
  • Oversee the design, implementation, and maintenance of Databricks clusters.
  • Ensure the platform s scalability, performance, and security.
  • Provide escalated support and troubleshooting to users.
  • Oversee maintenance of role-based access to data and features in the Databricks Platform using Unity Catalog.
  • Review clusters health check and best practices implementation.
  • Review and maintain documentation for users and administrators.
  • Design and implement tailored data solutions to meet customer needs and use cases, spanning from ingesting data from APIs, building data pipelines, analytics, and beyond within a dynamically evolving technical stack.
  • Work on projects involving on-prem data ingestion into Azure using ADF.
  • Build data pipelines based on the medallion architecture that clean, transform, and aggregate data from disparate sources.
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Skill
Required / Desired
Required Experience
Candidate Experience
Last Used
Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, Unity Catalog
Required
5
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Strong understanding of Relational Dimensional modeling.
Required
5
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Demonstrate proficiency in coding skills - Python, SQL, and PySpark to efficiently prioritize perf, security, scalability, robust data integrations.
Required
6
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Experience implementing serverless real-time/near real-time arch. using Cloud (i.e., Azure, AWS, or GCP Tech Stack), and Spark tech (Streaming ML)
Required
2
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Experience Azure Infra config (Networking, architect and build large data ingestion pipelines and conducting data migrations using ADF or similar tech
Required
4
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Experience working w/ SQL Server features such as SSIS and CDC.
Required
7
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Experience with Databricks platform, security features, Unity Catalog, and data access control mechanisms.
Required
2
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Experience with GIT code versioning software.
Required
4
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Databricks Certifications
Desired
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