✨ AI Summary
Data Architect responsible for designing and implementing comprehensive data architectures aligned with organizational goals. Manage data models, database schemas, and data flow diagrams; drive data governance and data quality initiatives; oversee data integration across systems; optimize performance and storage; mentor junior data professionals, and stay abreast of industry trends. Requires a Bachelor's degree in a related field, proven experience as a Data Architect or similar role, strong SQL and database design skills, experience with ETL and data integration tools, and knowledge of data governance and data security principles. Excellent analytical, communication, and collaboration skills are essential.
Requirements
Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. Proven experience as a Data Architect or a similar role. Strong expertise in data modeling and database design. Experience with data integration tools and ETL processes. Familiarity with data governance frameworks and best practices. Proficient in SQL, as well as experience with database management systems (e.g., Oracle, SQL Server, MySQL). Solid understanding of data security principles and practices. Analytical mindset with excellent problem-solving skills. Strong communication and interpersonal skills. Ability to work collaboratively in a team-oriented environment.
Description
Müller's Solutions is on the lookout for a talented Data Architect to join our team. In this role, you will be responsible for designing and implementing comprehensive data architectures that align with the organization’s strategic goals. Your expertise will contribute to managing data effectively, ensuring high data quality, and supporting data analytics efforts across various departments. You will collaborate with cross-functional teams to drive the development of innovative data solutions that enhance business processes. Responsibilities: Design, implement, and manage complex data architectures that support business objectives. Develop and maintain data models, database schemas, and data flow diagrams. Collaborate with business analysts and stakeholders to gather data requirements and translate them into architectural specifications. Establish and enforce data governance policies and best practices. Conduct data quality assessments and implement solutions for data cleansing and accuracy. Oversee data integration efforts with various systems, ensuring seamless data flow. Work with IT teams to optimize database performance and storage solutions. Continuously evaluate and adopt new technologies to enhance data architecture. Provide mentorship and guidance to junior data professionals. Stay updated on industry trends and advancements in data architecture and management.