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Mid-level role in a metro with some company brand and general data skills, but ServiceMax specialization tempers density.
Core data engineering skills are transferable, but ServiceMax/Salesforce specialization reduces cross-industry fit to medium.
Explicit 5+ years and mandatory Salesforce/ServiceMax data experience plus ETL/SQL requirements increase filter strictness.
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Lead design and development of data pipelines integrating ServiceMax, Salesforce, ERP, and other enterprise systems to support field service management workflows.
Manage data integration processes ensuring data cleansing, transformation, and loading with compliance to governance, privacy, and security standards.
Optimize performance, accuracy, and scalability of data workflows for real-time and batch processing to enable effective reporting and analytics.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
5+ years of experience in data roles focusing on Salesforce and/or ServiceMax platforms.
Strong proficiency in SQL and relational databases (e.g., MySQL, SQL Server).
Experience with data integration tools (e.g., Informatica, DM Amp, Snowflake, BI tools) and APIs.
Experienced in designing scalable data architectures supporting field service operations and reporting needs.
Capable of collaborating with cross-functional teams including IT, business stakeholders, and data analysts to align data solutions with business goals.
Knowledgeable about ServiceMax modules integration with Salesforce and enterprise ecosystems, with exposure to ETL, data modelling, and Agile methodologies.