Proven experience in data modeling, architecture, and management.
Expertise in utilizing DWH modeling techniques such as Kimball, Data Vault, etc.
Strong knowledge of data catalogs and their business implementation.
Hands-on experience with leading database technologies, data warehousing, and ETL processes.
Excellent leadership and communication skills, fostering effective collaboration across teams.
A degree in Computer Science, Data Engineering, or a related field.
Able to work in the US time zone (PST, CST, or EST).
Желательно
Experience in ML/AI data pipelines.
A background in mathematics, mathematical statistics, or data science.
Proficiency in SQL.
Experience with marketing analytics, especially marketing attribution.
Expertise in Churn or Customer Fit prediction.
Experience working with Agents, RLHF, Q Learning.
Задачи
Develop and execute a comprehensive data strategy aligned with business objectives.
Lead the design and implementation of efficient data models, leveraging methodologies like Kimball.
Contribute to building a roadmap, quality, and R&D processes for an AI Assistant — an AI agent capable of constructing data pipelines and analyzing data (Chain of Thoughts, RLHF, Q-Learning).
Oversee the creation and maintenance of data catalogs for easy accessibility and comprehension.
Collaborate cross-functionally to ensure data quality, consistency, and integrity.
Drive innovation by exploring new technologies, tools, and best practices in data management.
Mentor and guide the data team, fostering a culture of continuous learning and excellence.