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.