Data Architect @ Adobe

Experienced data modelers, SQL, ETL, with some development background to provide defining new data schemas, data ingestion for Adobe Experience Platform customers. Interface directly with enterprise customers and collaborate with internal teams.

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