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Role Overview We are seeking an experienced Lead Data Engineer to lead the end-to-end data migration initiative from ServiceNow ITSM to Salesforce Agentforce ITSM. The ideal candidate will have deep expertise in enterprise data migration, ETL/ELT frameworks, data architecture, data governance, and cloud-based integration technologies. The Lead Data Engineer will be responsible for designing migration strategies, defining source-to-target mappings, building scalable migration pipelines, ensuring data quality, and collaborating with business, ServiceNow, and Salesforce stakeholders to deliver a seamless transition. Key Responsibilities Data Migration Leadership Lead the design and execution of large-scale ServiceNow to Salesforce Agentforce ITSM data migration programs.Define migration strategy, migration waves, cutover plans, and rollback procedures.Establish data migration standards, frameworks, and best practices.Data Analysis & Mapping Analyze ServiceNow ITSM data structures, including: Incidents Problems Changes Knowledge Articles CMDB Assets Service Catalog Requests & Tasks User and Group DataDesign source-to-target mappings for Salesforce Agentforce ITSM objects.Document transformation, enrichment, and data validation rules.ETL/ELT Development Design and develop scalable ETL/ELT pipelines for data extraction, transformation, and loading.Integrate ServiceNow APIs, databases, and exports with Salesforce data ingestion mechanisms.Leverage Salesforce Bulk APIs and data loading frameworks for high-volume data migration.Data Quality & Governance Implement data profiling, cleansing, standardization, and deduplication processes.Develop reconciliation frameworks to ensure data completeness and accuracy.Monitor data validation metrics and address data anomalies proactively.Ensure compliance with enterprise data governance and security policies.Salesforce Agentforce Data Enablement Support migration of service operations data into Salesforce Service Cloud and Agentforce environments.Optimize migrated data for Agentforce AI-driven support workflows and automations.Ensure relationships, hierarchies, and historical records are accurately migrated and maintained.Technical Leadership Provide mentoring and technical guidance to data engineers and migration specialists.Conduct design reviews and code reviews.Collaborate with Salesforce Architects, ServiceNow SMEs, Product Owners, and Business Stakeholders.Testing & Deployment Lead mock migrations, performance testing, UAT support, and production cutovers.Create migration dashboards, monitoring reports, and status communications.Drive issue resolution during deployment and hypercare phases.Required Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.8-10 years of experience in Data Engineering, Data Integration, or Data Migration projects.Minimum 3+ years leading enterprise-scale migration initiatives.Strong experience with ServiceNow and Salesforce ecosystems.Proven experience migrating data across enterprise applications.Required Technical Skills Data Engineering Advanced SQL and data modeling expertise.Strong knowledge of ETL/ELT development patterns.Experience with: Azure Data Factory Informatica Talend SSIS AWS Glue MuleSoftProgramming PythonSQLShell ScriptingServiceNow ServiceNow Data ModelCMDBIncident, Change, Problem ManagementService CatalogServiceNow APIs and Data Export FrameworksSalesforce Agentforce / Service Cloud Salesforce Data ModelService CloudAgentforceSalesforce Bulk APISalesforce Data LoaderSalesforce Integration PatternsDatabase Technologies SQL ServerOraclePostgreSQLSnowflakeAzure SQLPreferred Qualifications Experience with Salesforce Agentforce implementations.Experience with AI-ready data architecture and knowledge management migration.Experience working in Agile and DevOps environments.Knowledge of Data Governance, MDM, and Metadata Management.Experience with cloud platforms: Microsoft Azure AWS Google Cloud PlatformKey Competencies Data Migration StrategyStakeholder ManagementTechnical LeadershipProblem SolvingData Quality ManagementArchitecture & DesignCommunication & CollaborationRisk Management .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.