
Data Architect
1 day ago
Overview
We are looking for a skilled Data Architect to take ownership of our company's data governance strategy and lead our data teams. The ideal candidate will be responsible for the entire data lifecycle—from collection and storage to organization and utilization—to ensure we build a robust, data-driven foundation for our future. This role is critical to our mission of leveraging data to drive innovation and create a more intelligent user experience. If you are passionate about building scalable, efficient data systems and leading a talented team, we encourage you to apply.
Responsibilities- Data Governance & Strategy: Own the company's data governance with a core focus on data quality, collection, storage, and organization. Work with our security team to ensure robust data security and privacy. Lead the design and implementation of standards to ensure the integrity and reliability of our data across all systems.
- Team Leadership & Mentorship: Lead, mentor, and manage a team of data analysts, data scientists, and ETL developers. Guide their work on data visualization, modeling, and data pipeline projects, ensuring alignment with the company's strategic goals and our data standards.
- System Integration: Design and implement data solutions that unify data from disparate sources, creating a centralized data repository. Collaborate with various teams to understand their data collection and storage methods. Review the UI of our software and portals to ensure we are capturing the necessary data for analytics and product development. Propose and implement tools and processes to standardize data collection across all systems.
- Cross-functional Collaboration: Work closely with product, engineering, and business teams to align on data requirements and ensure our architecture supports the development of data-driven products.
- Proven experience as a Data Architect, with prior experience in leading or mentoring a team of data professionals.
- Strong understanding of data governance, data modeling, and data warehousing principles.
- Proficiency in designing and managing centralized data systems.
- Excellent communication and collaboration skills, with the ability to work with both technical and nontechnical stakeholders.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Software Development
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