Lead Data Engineer
Lead Data Engineer driving data migration, architecture, and governance for a Salesforce-powered conversational agentic ITSM platform. The role blends hands-on ETL/ELT work (SQL, Python, Azure Data Factory, Databricks, Snowflake, Informatica) with leading teams migrating legacy ITSM data into Salesforce and mentoring data engineers.
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 7–10 years of overall IT experience
- 5+ years in Data Engineering, Data Migration, or Data Architecture roles
- Experience leading enterprise-scale data migration initiatives
- Experience supporting Salesforce implementations and transformation programs
- Strong understanding of Salesforce data models and platform architecture
- Deep expertise in data engineering, data migration, ETL/ELT development, data quality management, data governance, data warehousing, and MDM
- Experience working in Agile, Scrum, and DevOps-driven delivery environments
- Strong stakeholder management, leadership, and communication skills
- SQL and Python
- ETL/ELT pipelines, data modeling, data mapping & transformation, and data quality frameworks
- Azure Data Factory
- Databricks
- Snowflake
- Informatica
- Talend
- SSIS
- Cloud data platforms and data reconciliation & validation frameworks
- Salesforce Service Cloud, Sales Cloud, and Experience Cloud
- Salesforce data migration strategies and reporting & analytics
- Salesforce ITSM solutions, Agentforce, and Data Cloud fundamentals
Nice to have
- Experience implementing Enterprise Service Management (ESM) and ITSM solutions
- Experience managing migrations from legacy ITSM platforms
- Strong knowledge of CMDB, IT Asset Management, service management processes, and enterprise data governance
- Experience with multi-cloud and enterprise-scale data environments
- Experience supporting large-scale digital transformation initiatives
- Certifications such as Salesforce Data Cloud, Azure Data Engineer Associate, Databricks Data Engineer, Snowflake, or Informatica
- Experience supporting Agentforce and AI-powered service management platforms
- Exposure to Generative AI, Data Cloud, and intelligent automation initiatives
- Knowledge of ITIL and enterprise service management / operational support processes
Full description
About the Role
We are seeking an experienced and highly capable Lead Data Engineer to lead data migration, data engineering, and data governance initiatives supporting our next-generation Salesforce-powered Conversational Agentic ITSM Platform.
This role is responsible for defining migration strategies, designing scalable data architectures, establishing governance frameworks, and leading teams responsible for migrating and integrating data from legacy platforms into Salesforce and Enterprise Service Management ecosystems.
The ideal candidate combines deep expertise in data engineering, data migration, cloud platforms, and enterprise data architecture with strong leadership and stakeholder management capabilities. You will work closely with Salesforce Leads, Architects, Integration Teams, Business Analysts, and customer stakeholders to enable accurate, secure, and reliable data foundations that support AI-powered service experiences, enterprise automation, and business transformation initiatives.
This is an excellent opportunity for professionals who enjoy solving large-scale data challenges while shaping the future of Enterprise Service Management, Agentforce, and Salesforce-driven innovation.
Key ResponsibilitiesData Migration Leadership
- Lead end-to-end data migration initiatives supporting Salesforce and Enterprise Service Management transformation programs.
- Define migration strategies, migration roadmaps, cutover plans, reconciliation frameworks, and migration governance processes.
- Assess legacy source systems and determine migration approaches aligned with business and technical objectives.
- Establish migration success criteria, validation processes, and quality checkpoints.
- Drive data cleansing, standardization, enrichment, and remediation activities to improve overall data quality.
- Act as the primary data migration lead across implementation and transformation programs.
Data Architecture & Engineering
- Design scalable, secure, and high-performing data architectures supporting Salesforce and enterprise platforms.
- Define data transformation, mapping, validation, and cleansing strategies.
- Develop reusable migration frameworks, ETL/ELT pipelines, and automation utilities.
- Establish Master Data Management (MDM) principles and enterprise data governance standards.
- Ensure compliance with data privacy, security, regulatory, and organizational governance requirements.
- Drive adoption of data engineering best practices across projects.
Salesforce & ITSM Data Enablement
- Lead migration and transformation of:
- Incident Records
- Service Requests