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Mid-level, metro role with general data skills and ServiceMax specificity creates moderate applicant competition.
Core data engineering skills are transferable, but ServiceMax/Salesforce specialization increases industry specificity.
Mandatory 5+ years plus specific Salesforce/ServiceMax and ETL skills enforce moderate shortlisting filters.
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Design and manage data integration and pipelines between ServiceMax, Salesforce, ERP, and other enterprise applications for field service management.
Build and optimize data workflows to support real-time and batch data processing for reporting and analytics, ensuring data accuracy and performance at scale.
Lead data architecture design and oversee data governance, validation, and compliance to support business stakeholders' data needs.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
5+ years of experience in data activities focusing on Salesforce and/or ServiceMax platforms.
Strong skills in data integration tools (e.g., Informatica, DM Amp, Snowflake, BI tools) and APIs; proficient in SQL and relational databases (MySQL, SQL Server).
Experience with data transformation, cleansing, validation, and ensuring data integrity across systems.
Experienced in designing and managing complex data pipelines and architectures integrating ServiceMax and Salesforce within enterprise environments.
Comfortable collaborating cross-functionally with business stakeholders, IT teams, and data analysts to align data systems with operational and reporting needs.
Familiar with agile methodologies and advanced data processing or analytics technologies is a plus, indicating adaptability in evolving tech environments.