
Sr. Salesforce Developer with Data Cloud exp
E-Solutions, Cincinnati, OH, United States
Sr. Salesforce Developer with Data Cloud exp.
Location: Cincinnati, OH
Duration: Fulltime
Need candidate who can work onsite from Day 1 (5 days a week) Ideally 5+ years of experience in data modeling/architecting, with at least 2-3 years specifically on Data Cloud implementations (hands-on). Experience creating derived data sets and attributes using
Data Cloud capabilities (e.g., calculated insights, transformations, custom data objects, or derived datasets) Strong understanding of
data transformation
and enrichment across multiple data sources Experience building prioritization, ranking, or scoring logic within
Data Cloud Ability to design and work with
custom data models , including standard and custom
Data Cloud objects Experience joining and modeling data across multiple data streams using common business identifiers Advanced
SQL
proficiency to build and optimize complex data transformations, leveraging standard
SQL
and
Data Cloud-specific
capabilities for modeling, aggregating, filtering, and joining data across multiple systems. Strong understanding of unified profiles and cross-system customer identity alignment
Location: Cincinnati, OH
Duration: Fulltime
Need candidate who can work onsite from Day 1 (5 days a week) Ideally 5+ years of experience in data modeling/architecting, with at least 2-3 years specifically on Data Cloud implementations (hands-on). Experience creating derived data sets and attributes using
Data Cloud capabilities (e.g., calculated insights, transformations, custom data objects, or derived datasets) Strong understanding of
data transformation
and enrichment across multiple data sources Experience building prioritization, ranking, or scoring logic within
Data Cloud Ability to design and work with
custom data models , including standard and custom
Data Cloud objects Experience joining and modeling data across multiple data streams using common business identifiers Advanced
SQL
proficiency to build and optimize complex data transformations, leveraging standard
SQL
and
Data Cloud-specific
capabilities for modeling, aggregating, filtering, and joining data across multiple systems. Strong understanding of unified profiles and cross-system customer identity alignment