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Data Architect
1 month ago
Data Architect About Us: We're committed to leveraging data to drive insights, innovation, and strategic decision-making. As a Data Architect, you'll play a pivotal role in shaping our (and our clients) data infrastructure and ensuring the integrity, efficiency, and accessibility of our data assets. Job Description: As a Data Architect, you will be responsible for designing, implementing, and maintaining our organization's data architecture. You will collaborate closely with cross-functional teams including data engineers, analysts, and business stakeholders to understand data requirements and translate them into scalable, efficient, and well-organized data solutions. Key Responsibilities: Data Modeling and Design: Develop and maintain conceptual, logical, and physical data models that reflect business requirements and support our data strategy. Database Design and Optimization: Design and optimize database solutions for performance, scalability, and reliability. Data Integration: Architect data integration solutions to ensure seamless data flow between various systems and sources. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality, security, and compliance. Metadata Management: Define and implement metadata management processes to catalog and govern data assets effectively. Data Security: Collaborate with security teams to implement robust data security measures and ensure compliance with data privacy regulations. Data Architecture Documentation: Document data architecture standards, guidelines, and best practices. Technical Leadership: Provide technical leadership and mentorship to data engineering and analytics teams. Vendor Evaluation and Management: Evaluate third-party tools and technologies and manage vendor relationships as needed. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Proven experience (5+) working as a Data Architect or in a similar role. Strong expertise in data modeling, database design, and data integration technologies (e.g., SQL, NoSQL, ETL/ELT tools). Proficiency in data architecture best practices, data governance, and data security. Hands-on experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and data warehousing solutions. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving and analytical skills with a keen attention to detail. Experience with agile development methodologies is a plus. #J-18808-Ljbffr
