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ServiceNow

Presales Data Platform Solution Architect

ServiceNow, Chicago Heights, Illinois, United States, 60411

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Employer Industry: Cloud-Based Technology Solutions

Why consider this job opportunity

Salary up to $246,300

Competitive On Target Earnings (OTE) incentive compensation structure

Comprehensive benefits package, including health plans, flexible spending accounts, and a 401(k) plan with company match

Opportunities for career advancement and growth within the organization

Engage in innovative projects that shape digital transformation through data-driven solutions

Flexible work arrangements, including the option for remote work

What to Expect (Job Responsibilities)

Serve as a key technical advisor for the employer’s data products to both business and technical stakeholders

Lead technical discovery sessions to understand complex data challenges and translate them into effective solutions

Develop robust data architectures that support ingestion, transformation, integration, and analytics

Collaborate with sales, product, engineering, and delivery teams for successful project execution

Support the presales lifecycle from opportunity qualification through to close, driving sales targets

What is Required (Qualifications)

7+ years of experience in technical presales, solution architecture, or consulting roles with a focus on data integration and analytics

Strong technical background in data engineering and hands‑on experience with data ingestion tools and ETL processes

Familiarity with integration technologies such as REST APIs, SOAP, JSON, and data pipelines

Proficiency in programming languages and technologies including JavaScript, SQL, Python, and others

Exceptional stakeholder management skills and outstanding communication and presentation abilities

How to Stand Out (Preferred Qualifications)

Experience with ServiceNow platform certifications (CSA, CAD)

Exposure to technologies such as Generative AI and data governance practices

Consultative mindset focused on process improvement and operational efficiency

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