Roles & Responsibilities

Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Azure Data Lake Storage

Requirements:

Design and implement enterprise data architecture using Azure, Databricks, and Data Lake.
Develop scalable and secure data models to support advanced analytics and business intelligence.
Collaborate with stakeholders to align data solutions with business goals.
Ensure data quality, governance, and compliance standards.

Georgia IT, Inc.

About Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Founded: 2018

Company size: 51 - 200

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Job description

Job Title: Enterprise Data Architect
Location: Remote
Rate: DOE

US Citizen, Green Card, TN, GC EAD, and H4 EAD only No Third-party agencies Corp to Corp

Job Summary:

We are seeking an experienced Enterprise Data Architect with expertise in Azure, Databricks, and Data Lake technologies. The ideal candidate will design, implement, and optimize scalable data architecture solutions to meet business requirements. This role requires a deep understanding of cloud data platforms, data governance, and best practices in managing enterprise-scale data environments.

Key Responsibilities:

Design and implement enterprise data architecture using Azure, Databricks, and Data Lake.
Develop scalable and secure data models to support advanced analytics and business intelligence.
Collaborate with stakeholders to align data solutions with business goals.
Ensure data quality, governance, and compliance standards.
Optimize data pipelines and integration processes for performance and reliability.

Qualifications: