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Tier-1 brand and in-demand data platform skills yield moderate competition.
Core data engineering skills are transferable, but ITSM/ServiceNow and governance needs increase domain specificity.
Explicit 10+ years requirement and specific platform, Python, and governance skills enforce strict shortlisting.
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Design, build, and evolve an enterprise data platform focused on ServiceNow, CMDB, and ITSM data to support operational analytics, incident and change management.
Develop reusable platform capabilities ensuring high data quality, governance, lineage, discoverability, and self-service access to trusted data products at scale.
Collaborate with cross-domain teams to meet data needs, contribute to platform architecture and standards, and mentor engineers while supporting production incident resolution.
10+ years in data engineering, data platform engineering, or large-scale software engineering.
Strong skills in Python, advanced SQL, and experience with modern ETL/ELT architectures and data product design principles.
Deep knowledge of data lifecycle management including lineage, governance, metadata management, temporal data modeling, and historical data management.
Experience driving technical architecture discussions and influencing senior stakeholders.
Experienced in designing and operating scalable, governed data platforms that minimize duplication and support enterprise self-service analytics.
Comfortable working with complex operational data domains such as ServiceNow, CMDB, and ITSM, and modern data technologies like Apache Iceberg, Snowflake, ClickHouse.
Able to operate in a senior technical leadership capacity shaping architecture, standards, and mentoring engineering teams in a global financial data environment.