Senior Data Modeler

Contract
Senior
🇺🇸 United States
Data science & Analytics

Role: Data Modeler [Azure Cloud services and Banking/Financial background]
Location: Minneapolis, MN day 1 onsite
Interview: Phone/Skype
Job Type: Contract W2 preferred

Responsibilities:
• Lead Data Modeler and Development: Lead the design and development of SQL Server databases, including data modeling, schema design, stored procedures, triggers, and functions.
• Cloud Migration: Lead the migration of the existing MS SQL Server implementation to a cloud-ready solution, ensuring that the data model and database architecture are optimized for the cloud environment.
• Azure Integration: Collaborate with the IT team to integrate MS SQL Server with Azure services such as Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics, leveraging the benefits of cloud-based data management and analytics.
• Strategy Alignment: Ensure that the data model and solutions align with the client's roadmap and strategy for cloud adoption, providing recommendations and implementing best practices for cloud readiness.
• Team Leadership: Provide guidance and leadership to a team of SQL developers, overseeing the design and development of database solutions while driving the adoption of cloud technologies within the team.
• Continuous Improvement: Stay abreast of the latest developments in MS SQL Server and Azure technologies, driving continuous improvement initiatives to enhance the performance, scalability, and security of the database solutions.

Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or related field.
• 10+ years of proven experience as a SQL Server Developer or Database Administrator, with at least 5 years in a lead or senior role.
• Expertise in database design, T-SQL programming, performance tuning, and database administration
• Strong understanding of relational database principles and best practices.
• The candidate should have extensive experience working with MS SQL Server, including database design, development, optimization, and administration.
• Cloud Experience: It is preferable for the candidate to have exposure to cloud platforms, particularly Microsoft Azure, with a suggested certification such as AZ-900. This would demonstrate an understanding of Azure fundamentals and the ability to work with cloud-based solutions.
• Data Modeling Expertise: The candidate should be adept at data modeling for MS SQL Server, with the ability to design efficient and scalable database structures.

 

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