About the Company: We are a well-funded, rapidly growing, early-stage startup building a global consumer AI product for daily needs. We work on the cutting edge of AI across the stack. Check out our product and how we are championing the AI landscape by introducing every AI to everyone on our launch blog post. Moreover, the consumer product is built for the deeper purpose of solving the foundational challenge of robust and trustworthy AI model evaluations and data.
Job Summary: We are seeking a highly experienced and motivated Data Warehouse Expert to join our team. The ideal candidate will have a deep knowledge of data warehousing, a passion for data architecture, and a proven track record of building robust data warehousing solutions from scratch. You will work closely with engineers, analysts, and product managers to design, develop, and maintain data warehousing solutions that support our business needs. This role requires strong technical expertise, strategic thinking, and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Design and develop scalable data warehousing solutions from the ground up.
• Architect data models and schemas to support business intelligence and reporting needs.
• Implement ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
• Optimize data warehousing solutions for performance and scalability.
• Collaborate with engineers, analysts, and other stakeholders to define data requirements and deliver high-quality solutions.
• Ensure data security, compliance, and governance best practices are followed.
• Troubleshoot and resolve data-related issues and provide ongoing support and maintenance.
• Stay updated with industry trends and best practices in data warehousing and big data technologies
• Write clean, maintainable, and well-documented code.

Qualifications:

• Minimum 10+ years of experience in data warehousing, data architecture, or related roles.
• Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
• Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle).
• Experience with ETL tools and processes (e.g., Informatica, Talend, Apache NiFi).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related services.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience.

If you are passionate about creating exceptional user experiences and thrive in a dynamic and collaborative environment, we would love to hear from you. Apply today and join our team of talented individuals

• Design and develop scalable data warehousing solutions from the ground up.
• Architect data models and schemas to support business intelligence and reporting needs.
• Implement ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
• Optimize data warehousing solutions for performance and scalability.
• Collaborate with engineers, analysts, and other stakeholders to define data requirements and deliver high-quality solutions.
• Ensure data security, compliance, and governance best practices are followed.
• Troubleshoot and resolve data-related issues and provide ongoing support and maintenance.
• Stay updated with industry trends and best practices in data warehousing and big data technologies
• Write clean, maintainable, and well-documented code