• Experience working closely with all business lines to identify business needs and analytics opportunities, with a great sense of ownership
• Experience leading data controls and developing business concepts
• Hands on experience mapping Business requirements to Architecture standards and patterns, craft new patterns to address missing capabilities
• A deep understanding of SQL and analytics tools
• Knowledgeable in advanced data analysis techniques for Data Science
• Deep experience with improving data quality, accessibility, and security
• Understands data modeling over modern data formats, cloud data warehouses and big data movements
• Understands fundamental principles of Data processions, able to problem solve performance bottlenecks
• Ability to think and communicate clearly and write precise documentation  is a key skill
• Machine Learning experience will be a big advantage

Basic Qualifications:

• 10+ years working with Data Warehouse as an architect, with a deep understanding of SQLs and Data Models
• 5+ years of Architecture experience, participating in intent and design review sessions providing feedback
• 3+ years of data pipeline design experience with Big Data tools on Cloud, preferably AWS
• 5+ years of experience Python or Scala or Java with Spark
• 3+ years of experience working with Snowflake/Redshift at the semantic levels
• 3+ years of experience working with Statistical or ML models