Job Description

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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