ACTIVITIES:●Own the technical architecture, design, and implementation of analytics ready data products and self-service solutions.●Collaborate with team members and stakeholders to define and develop business intelligence solutions to solve real user problems.●Act as a subject matter expert to stakeholders for technical guidance around solution design and best practices.●Keep current on big data, data visualization, and cloud technology trends, evaluate, work on proof-of-concepts and make merit-based recommendations on technologies.SKILLS REQUIRED:●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.●3+ 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.
Job Title
Data Platform Engineer