Azure Data Architect - Alpharetta, United States - Lorven technologies

Description

Job Description

Role: Azure Data Architect

Location: Alpharetta, GA (hybrid 3-days on-site)

Job Type: Contract (Only W2)

Project description

We are seeking a highly skilled and experienced Senior Developer specializing in Data Engineering to join our technology-driven team. The ideal candidate will have significant hands-on expertise in Data Factory, Databricks, and a strong background in designing, building, managing, and deploying enterprise-level data architectures including data warehouses, data lakes, and lakehouse architectures.

Responsibilities

• Design and implement robust data pipelines using Azure Data Factory and Databricks to support scalable data extraction, transformation, and loading processes (ETL).
• Architect and manage the deployment of data solutions, ensuring integration with enterprise-wide IT infrastructure and data systems.
• Develop and optimize data models to improve data accessibility, efficiency, and quality.
• Collaborate with cross-functional teams to gather requirements, define data governance standards, and ensure data security and compliance with relevant regulations.
• Provide leadership and guidance on best practices in data architecture, including data warehousing, data lakes, and lakehouse methodologies.
• Monitor data pipelines and systems performance, proactively addressing any issues to maintain high availability and reliability.
• Stay current with industry trends and advancements in data technology to drive continuous improvement and innovation within the organization.

Must have Skills:

• Minimum 6 years of hands-on technical experience in Data Engineering.
• Extensive knowledge and experience in Extract, Transform, Load (ETL) processes.
• Expertise in using Microsoft Azure Cloud Platform.
• Profound knowledge and experience in using Microsoft Azure Databricks.
• Skillful in using PowerBI for data visualization.

Nice to Have Skills:

• Strong verbal and written communication skills.
• Ability to explain complex data concepts in simple terms to non-technical team members.
• Experience in other cloud platforms like AWS or Google Cloud.
• Familiarity with other data visualization tools like Tableau.
• Experience working in an Agile/Scrum development process.