Lead Data Platform Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of an enterprise data platform for ServiceNow, CMDB, and ITSM operational data, focusing on high-quality, governed, and discoverable data products.
Improve data lifecycle management including data quality, lineage, governance, auditability, and retention strategies to support multiple engineering domains like observability and incident management.
Provide hands-on platform architecture, operational support, mentor engineers, and influence long-term data strategy and engineering standards across the organization.
Minimum Requirements
10+ years of experience in data engineering, data platform engineering, or large-scale software engineering.
Strong skills in Python programming, advanced SQL with performance optimization for analytical workloads.
Experience with scalable data platforms, data lifecycle management including data quality, governance, metadata management, and historical data handling.
Work Experience Required: 10+ years; Location: Not explicitly mentioned; Degree: Not explicitly mentioned; Notice Period: Not explicitly mentioned.
Ideal Candidate Profile
Experienced in building scalable, governed, enterprise data platforms with deep knowledge of data governance, metadata management, and lineage.
Technical leader capable of driving architecture discussions, influencing senior stakeholders, and mentoring teams in a complex, multi-domain environment.
Proficient with modern data platform technologies and cloud-native services, with a background in operational data domains such as ServiceNow, CMDB, and ITSM datasets.
