Advisory Solution Consultant - Data & Analytics

ServiceNow ServiceNow · Enterprise · Tokyo, Japan · Sales

Advisory Solution Consultant for ServiceNow's Workflow Data Fabric & RaptorDB, focusing on data platform solutions, distributed databases, data integration, and advanced analytics, including AI-enhanced capabilities like NowAssist and Agentic AI. The role involves technical advisory, customer engagement, PoC development, and competitive differentiation.

What you'd actually do

  1. Serve as a key technical advisor and advocate for ServiceNow’s Workflow Data Fabric and RaptorDB, articulating the benefits and capabilities of data platforms and integrated data solutions to business and technical stakeholders.
  2. Act as a trusted advisor to clients on how to architect, scale, and operate transactional and analytical workloads on RaptorDB. Provide guidance on distributed, multi-region, HA architectures, performance tuning, and data compliance best practices.
  3. Lead technical discovery sessions to identify customer needs, data integration challenges, and architectural gaps. Design and articulate innovative ServiceNow-based solutions aligned to business outcomes.
  4. Build and deliver custom proof-of-concepts and proof-of-value solutions that demonstrate Workflow Data Fabric and RaptorDB’s technical strengths and business impact.
  5. Provide insights into the competitive data platform landscape, articulating trade-offs and positioning RaptorDB against alternatives.

Skills

Required

  • technical presales
  • solution engineering
  • architecture roles
  • enterprise data platforms
  • cloud databases
  • infrastructure technologies
  • distributed database concepts
  • transactional/analytical processing
  • replication
  • sharding
  • storage optimization
  • data engineering
  • data platforms
  • databases
  • infrastructure technologies
  • data ingestion
  • ETL pipelines
  • real-time streaming platforms
  • integration technologies (REST, JDBC, Kafka, etc.)
  • SQL
  • Python
  • data modeling
  • query optimization
  • performance benchmarking
  • capacity planning
  • low-code/no-code application development platforms
  • stakeholder management
  • consultative work

Nice to have

  • ServiceNow platform certifications (CSA, CAD)
  • MongoDB Atlas
  • Snowflake
  • Databricks
  • BigQuery
  • Google Spanner
  • DynamoDB
  • Cloudera

What the JD emphasized

  • enterprise data platforms
  • distributed database concepts
  • data engineering
  • data platforms
  • databases
  • infrastructure technologies
  • data ingestion
  • real-time streaming platforms
  • integration technologies
  • SQL
  • Python
  • data modeling
  • query optimization
  • performance benchmarking
  • capacity planning
  • low-code/no-code application development platforms
  • ServiceNow platform certifications