Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Advisory Solution Consultant - Data & Analytics role.
Rezi rewrites your resume against ServiceNow's job description. Free.

Tailor your resume to this Advisory Solution Consultant - Data & Analytics role.
Rezi rewrites your resume against ServiceNow's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Advisory Solution Consultant - Data & Analytics posting at ServiceNow — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Advisory Solution Consultant - Data & Analytics posting at ServiceNow — free, in seconds.
About the Role
Seeking an experienced Advisory Solution Consultant focused on ServiceNow's Workflow Data Fabric & RaptorDB to shape and deliver innovative data platform solutions. This role is critical in defining and showcasing the technical vision for ServiceNow’s emerging data capabilities, emphasizing distributed databases, data integration, and advanced analytics within the ServiceNow ecosystem.
Responsibilities
- Serve as a key technical advisor and advocate for ServiceNow’s Workflow Data Fabric and RaptorDB, articulating benefits and capabilities to stakeholders.
- Advise clients on architecting, scaling, and operating transactional and analytical workloads on RaptorDB, including distributed, multi-region, HA architectures, performance tuning, and data compliance.
- 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.
- Build and deliver custom proof-of-concepts and proof-of-value solutions demonstrating technical strengths and business impact.
- Provide insights into the competitive data platform landscape, articulating trade-offs and positioning RaptorDB against alternatives.
- Communicate complex technical solutions clearly to technical and executive audiences, aligning technical value to business priorities.
- Collaborate with product and field enablement teams to share customer insights, influence roadmap, and contribute to learning materials.
- Support the presales lifecycle from qualification to close, including sizing, solution validation, and architecture workshops.
Requirements
- Experience leveraging or integrating AI into work processes, decision-making, or problem-solving.
- 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, 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.
- Prior exposure to data modeling, query optimization, performance benchmarking, and capacity planning.
- Experience with low-code/no-code application development platforms.
- Familiarity with competitive platforms like MongoDB Atlas, Snowflake, Databricks, 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.
Skills
- AI integration
- Distributed databases
- Data integration
- Advanced analytics
- Workflow Data Fabric
- RaptorDB
- NowAssist
- Agentic AI
- Data platforms
- Transactional workloads
- Analytical workloads
- Multi-region architectures
- High availability architectures
- Performance tuning
- Data compliance
- ETL pipelines
- Real-time streaming
- REST
- JDBC
- Kafka
- SQL
- Python
- Data modeling
- Query optimization
- Performance benchmarking
- Capacity planning
- Low-code/no-code development
- ServiceNow platform
- Stakeholder management
- Consultative selling
Location
- APAC - Asia Pacific
Work Type
- Flexible
Experience Level
- 5+ years
Education Level
- ServiceNow platform certifications (CSA, CAD) is preferred
About the Company
- ServiceNow is an AI control tower for business reinvention, bringing together AI, data, and workflows to help businesses work smarter, faster, and better.
- Building an AI-native culture where technology and talent are unstoppable together.
Equal Opportunity
- ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law.
- All qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
- We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.