Data Architect

Job Title: Data Architect

Job Overview: As a Data Architect at [Company Name], you will be responsible for designing, implementing, and maintaining the organization's data architecture to support our business objectives. Leveraging your extensive experience and expertise, you will collaborate with cross-functional teams to ensure the integrity, availability, and security of our data assets.

Key Responsibilities:

• Develop and maintain an enterprise-wide data architecture strategy aligned with business goals and objectives.
• Design, implement, and optimize data models, data integration processes, and data pipelines to support various business functions and analytical requirements.
• Define data standards, policies, and best practices to ensure consistency, accuracy, and compliance across the organization.
• Collaborate with stakeholders to understand data requirements and provide strategic guidance on data-related initiatives.
• Evaluate and recommend emerging technologies and tools to enhance data management capabilities and drive innovation.
• Lead and mentor junior members of the data architecture team, fostering a culture of continuous learning and professional growth.
• Collaborate with IT infrastructure and security teams to ensure the scalability, performance, and security of data systems and platforms.
• Provide technical leadership and guidance in resolving complex data-related issues and challenges.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• 15 years of experience in data architecture, data modeling, and database design.
• Proven track record of successfully designing and implementing enterprise-scale data architectures in complex environments.
• Expertise in data modeling techniques, including conceptual, logical, and physical data modeling.
• Extensive experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Strong understanding of data integration technologies, ETL processes, and data warehousing concepts.
• Proficiency in data governance, data quality management, and metadata management principles.
• Excellent communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels of the organization.
• Experience in cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is highly desirable.
• Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Solutions Architect) are a plus.