Data Engineer Salesforce Data 360
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AspenView Technology PartnersIT Services
Delivered from AspenView's Latin American delivery centers, substantial time-zone overlap with North American business hoursContractMiddle
Salary not disclosed
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Job Details
- Languages
- Advanced/Fluent English (C1/C2)
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeData engineeringData modelingBigQueryDatabricks
Requirements
- 5+ years of experience in data engineering with production pipeline ownership in an Agile environment.
- Strong proficiency in SQL, including window functions and query tuning.
- Experience with Python for transformation, orchestration, and API integration.
- Deep understanding of Salesforce Data 360, including data streams, model objects, and identity resolution.
- Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
- Knowledge of dimensional and canonical data modeling (star schemas, SCDs, surrogate keys).
- Understanding of the Salesforce CRM data model and its differences from traditional warehouse models.
- Experience with data quality, lineage, and observability tooling.
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience).
- Advanced/Fluent English (C1/C2) for collaboration with leadership.
Responsibilities
- Build data ingestion pipelines from Salesforce CRM, external APIs, and cloud warehouses like Snowflake, BigQuery, or Databricks.
- Map source data to the Data 360 canonical model and maintain associated data streams.
- Design and tune identity resolution rulesets to improve match rates.
- Develop calculated insights, segments, and activation targets for business stakeholders.
- Model data for grounding Agentforce agents, including retrieval-ready unstructured content.
- Implement privacy, consent, and data-retention logic within models.
- Orchestrate transformation pipelines in SQL and Python with integrated testing and lineage.
- Monitor pipeline health through observability tools to track freshness, schema drift, and cost.
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