What you'll do:
 

• Collaborate with stakeholders and other engineering leaders to define and develop the data architecture roadmap.
• Act as a subject matter expert to leadership for technical guidance around solution design and best practices.
• Be a technical mentor to junior engineers and expose the team to new opportunities, while still being able to dependably deliver on ongoing goals. 
• Keep current on big data and data visualization technology trends, evaluate, work on proof-of-concepts and make merit-based recommendations on technologies

 
Who you are:

• An expert at SQL-based ETL development, and experienced with Python, Java, or equivalent scripting language. 
• Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale. 
• Comfortable designing and implementing DW Architecture, OLAP technologies, and star/snowflake-schemas to enable self-service tooling. 
• Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm or any similar tools. 
• Experience with big data technologies like Hadoop, Spark, Cassandra, MongoDB or other open source big data tools. 
• 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. Previous e-commerce experience is a plus.
• 5+ years of Data Architecture experience working in partnership with large data sets (5+TB highly desired) 
• 4+ years of experience leading or mentoring technical teams. 

Bachelor's or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline