● Bachelor’s or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline.
● Excellent design and architectural skills with strong fundamentals in system design, data structures and algorithms (3+ years or equivalent track-record).
● Experience at SQL-based ETL development, and experienced with Python, Java, or equivalent scripting language.
● Experience developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale.
● Experience architecting data solutions utilizing Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools.
● Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners.
● 1+ years of Data Architecture experience working in partnership with large data sets
● Capability to collaborate with cross functional teams in a dynamic fast paced environment with an inclusive, adaptable and persuasive communication style.
Result oriented mindset with the ability to quickly translate business requirements into working features.