
Advisory Solution Architect - Data Platform & RaptorDB
- Singapore
- Permanent
- Full-time
- Data Solution Evangelism: Serve as a key technical advisor and advocate for ServiceNow’s RaptorDB and Workflow Data Fabric, articulating the benefits and capabilities of data platforms and integrated data solutions to business and technical stakeholders.
- Database Architecture Advisory: 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.
- Customer Engagement: 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.
- PoC & Value Engineering: Build and deliver custom proof-of-concepts and proof-of-value solutions that demonstrate RaptorDB and Workflow Data Fabric’s technical strengths and business impact.
- Competitive Differentiation: Provide insights into the competitive data platform landscape, articulating trade-offs and positioning RaptorDB against alternatives.
- Solution Storytelling: Communicate complex technical solutions in clear and compelling ways to both technical and executive audiences. Align technical value to business priorities.
- Internal Enablement & Feedback: Collaborate with product and field enablement teams to share customer insights, influence roadmap, and contribute to reusable assets and learning materials.
- Sales Strategy Support: Actively support the presales lifecycle from qualification to close, including sizing, solution validation, and architecture workshops.
- 5+ years in technical presales, solution engineering, or architecture roles with enterprise data platforms, cloud databases, or infrastructure technologies.
- Deep understanding of distributed database concepts, transactional/analytical processing, replication, sharding, and storage optimization.
- Strong technical background in data engineering, strong focus on data platforms, databases or infrastructure technologies. Enterprise software experience is a must.
- Hands-on experience with data ingestion, ETL pipelines, real-time streaming platforms, and integration technologies (REST, JDBC, Kafka, etc.).
- Strong coding/scripting ability in SQL, Python, or similar languages to prototype solutions and communicate technical designs.
- Prior exposure to data modeling, query optimization, performance benchmarking, and capacity planning.
- Experience with low-code/no-code application development platforms; familiarity with ServiceNow platform certifications (CSA, CAD) is strongly preferred.
- Familiarity with competitive platforms like MongoDB Atlas, Snowflake, BigQuery, Google Spanner, DynamoDB, or Cloudera is a strong plus.
- Strong stakeholder management skills across technical and business audiences; ability to work consultatively with customers and partners.
- Excellent verbal, written, and presentation skills, with a storytelling mindset that translates complex solutions into clear business value.