✨ AI Summary
Müller's Solutions is seeking a Data Architect for a 3-month contract to design and enhance data systems in alignment with business goals. You will develop data models, lead data integration efforts, establish data governance, and collaborate with developers to optimize storage and retrieval while ensuring data quality and security. The ideal candidate holds a computer science or information systems degree and has demonstrated experience in data architecture, data modeling, ETL, and governance with strong SQL skills across Oracle, SQL Server, and MySQL, complemented by excellent problem-solving, analytical, and communication abilities.
Requirements
Requirements: Degree in Computer Science, Information Systems, or related field. Demonstrated experience as a Data Architect with a solid track record in data architecture design. Proficiency in data modeling practices. Experience with ETL processes and data integration technologies. Strong understanding of data governance frameworks. Hands-on experience with SQL and database management systems (e.g., Oracle, SQL Server, MySQL). Ability to enforce data quality standards and conduct data analysis. Knowledge of data security methodologies. Excellent problem-solving abilities and analytical skills. Strong communication skills and team-oriented mindset.
Description
Müller's Solutions is seeking a skilled Data Architect for a 3-month contract role. In this position, you will play a crucial role in designing and enhancing data systems to meet the evolving data needs of our organization. Your expertise will help shape our data strategy, ensuring the architecture is robust, scalable, and aligned with business goals. Collaborating with various teams, you will address data-related challenges and implement best practices in data management. Responsibilities: Design and implement data architecture solutions to support business objectives. Develop data models that align with existing and new business processes. Facilitate data integration efforts and ensure seamless data flow across systems. Establish data management policies and governance practices. Work closely with developers to optimize data storage and retrieval processes. Lead data quality initiatives and improve data accuracy and consistency. Ensure compliance with data security standards and regulations. Provide technical guidance and support to team members. Conduct reviews of the existing data architecture and recommend enhancements. Keep abreast of industry trends to ensure modern data architecture practices.