What you’ll do

• Interface with Adobe customers to gather requirements, design solutions & make recommendations
• Lead customer project conference calls or interface with a Project Manager
• Deliver Technical Specifications documents for customer review
• Strong collaboration with team software engineer consultants onshore & offshore
• Leverage understanding of data relationships and schemas to structure data to allow clients to perform dynamic customer-level analysis
• Construct processes to build Customer ID mapping files for use in building 360 degree view of customer across data sources.
• Leverage scripting languages to automate key processes governing data movement, cleansing and processing activities
• Bill & forecast time toward customer projects
• Innovate on new ideas to solve customer needs

Requirements

• 10+ years of strong experience with data transformation & ETL on large data sets
• Experience with designing customer centric datasets (i.e. CRM, Call Center, Marketing, Offline, Point of Sale etc.)
• 5+ years of Data Modeling experience (i.e. Relational, Dimensional, Columnar, Big Data)
• 5+ years of complex SQL or NoSQL experience
• Experience in advanced Data Warehouse concepts
• Experience in industry ETL tools (i.e. Informatica, Unifi)
• Experience with Business Requirements definition and management, structured analysis, process design, use case documentation
• Experience with Reporting Technologies (i.e. Tableau, PowerBI)
• Experience in professional software development
• Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects
• Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome
• Must be self-managed, proactive and customer focused
• Degree in Computer Science, Information Systems, Data Science or related field

Special Consideration given for

• Experience & knowledge with Adobe Experience Cloud solutions
• Experience & knowledge with Digital Analytics or Digital Marketing
• Experience in programming languages (Python, Java or Bash scripting)
• Experience with Big Data technologies (i.e. Hadoop, Spark, Redshift, Snowflake, Hive, Pig etc.)
• Experience as an enterprise technical or engineer consultant