Azure Data Architect
3 weeks ago
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.
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