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Niche Salesforce-data skillset and seniority reduce applicant pool, giving moderate competition density.
Strong Salesforce and CRM data expertise required, making cross-industry transferability low and background sensitivity high.
Many mandatory Salesforce, ETL, and cloud data platform skills plus senior years requirement make filters strict.
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Design, build, and optimize scalable ETL/ELT pipelines to ingest and synchronize large datasets into Salesforce.
Lead data modeling and governance initiatives including implementing automated data quality controls, deduplication, and compliance policies on Salesforce platforms.
Conduct advanced analytics using SQL, Python, and Salesforce tools to identify data issues and deliver actionable insights supporting business strategy.
7–9+ years of experience in Data Engineering, Salesforce Data Architecture, Data Integration, or CRM Data Management.
Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
Expertise in Salesforce ecosystem tools including Sales Cloud, Service Cloud, Data Cloud, SOQL, SOSL, Apex, and Salesforce REST/SOAP APIs.
Proficiency in SQL, Python (Pandas, NumPy), and experience with ETL/ELT frameworks and data warehousing technologies like Snowflake, BigQuery, Oracle, SQL Server.
Experienced in managing complex Salesforce data migrations and integrations at scale with proven delivery track record.
Demonstrates deep technical understanding of Salesforce data models, security, and compliance frameworks (e.g., Salesforce Shield).
Strong analytic skills with ability to translate complex data structures into business insights using BI tools like Power BI, Tableau, and Salesforce CRM Analytics.