JOB AT ICAPITAL
Data Engineering Lead - Senior Vice President
- Company: iCapital
- Location: Remote (US)
- Posted
- Pay listed by the employer: $200,000–$250,000 a year
- Compare pay: Data Engineering Lead salaries · iCapital salaries
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Application facts
- Application form: from 12 forms we checked, 12 ask for a cover letter; about 7 questions only iCapital asks per form. What it asks
- Pay benchmark: Data Engineering Lead postings that list pay show a $161K median (7 postings)
- Pay benchmark: iCapital postings that list pay show a $158K median (89 postings)
Job description
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Data Engineering Lead - Senior Vice President
New York, New York, United States
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About the Role
iCapital is looking to hire a Data Engineering Senior Vice President, to lead the evolution of the enterprise data platform that powers AI, automation, analytics, and data-driven decision making across the firm while positioning proprietary data as a strategic business asset. This role is responsible for defining and executing the architectural vision, roadmap, and operating model for a modern, AI-ready data ecosystem built on a strong foundation of cloud technologies and established engineering capabilities. The position will provide leadership across platform architecture, engineering standards, and cross-functional alignment while overseeing the development of scalable data products, semantic layer capabilities, and future AI enablement initiatives. Partnering closely with an engaged executive steering committee, this individual will play a critical role in shaping how data supports the firm's long-term growth and innovation strategy.
Responsibilities
Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem.
Establish standards for data engineering, governance, security, observability, quality, and documentation.
Own platform reliability, SLAs, DataOps practices, and incident management.
Lead architectural strategy, tooling decisions, and platform investment recommendations.
Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities.
Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities.
Build business cases for platform investments and proactively address technical debt and future scalability needs.
Partner with business and technology leaders to deliver data products that support enterprise objectives.
Communicate platform progress, risks, and investment decisions to executive stakeholders.
Build and lead a high-performing Data Engineering organization and culture.
Qualifications
12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions
Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization
Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support
Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes
Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact
Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt
Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements
Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale
Knowledge of alternative investments, wealth management, fund administration, or related financial services domains
Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures
Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms
Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development
Benefits
The base salary range for this role is $200,000 to $250,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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What the iCapital application asks
From 12 application forms we checked.
- Are you subject to any form of Garden Leave or a Non-Compete Agreement? If yes, please provide detail below.
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- If "Employee Referral" was selected for "How did you hear about this job?" please type the full name of the referring employee. If not, please type in "N/A".
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- What is your desired bonus expectation? Please specify the amount and currency.
- Contact details: 12 of 12 forms
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- Cover letter: 12 of 12 forms
- Work authorization: 12 of 12 forms
- Visa sponsorship: 12 of 12 forms
- Salary expectations: 12 of 12 forms
- Voluntary self-identification (EEO): 10 of 12 forms
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