Description

You will architect and engineer data solutions leveraging Salesforce Data Cloud.

Responsibilities

• Architect and operationalize automated data pipelines from cloud data lakes and warehouses into Salesforce Data Cloud.
• Configure Data Streams, Data Model Objects (DMOs), identity resolution logic, and data harmonization processes within Data Cloud.
• Manage data ingestion, mapping, harmonization, and activation within Salesforce Data Cloud for segmentation and personalization.
• Establish enterprise data standards, integrating address standardization tools and implementing cleansing routines.
• Partner with CRM, Marketing Operations, and Data Engineering teams to translate business needs into technical pipeline designs.

Required Skills

• 8+ years in data engineering, ETL/ELT development, or data integration roles.
• Hands-on experience with Salesforce Data Cloud ingestion, mapping, unification, and activation.
• Experience building pipelines from Snowflake, BigQuery, Databricks Lakehouse, Redshift, or Synapse.
• Proven experience migrating legacy ETL workflows from Alteryx to cloud-native architectures.
• Expertise in data standardization, address validation, and data quality frameworks.
• Experience managing healthcare provider identifiers or other regulated datasets.
• Exposure to Marketing Cloud data structures and activation models.
• Proficiency in Data Engineering and ETL/ELT Development principles.

Key Skills

Education

Bachelor's degree