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Data Engineering Lead - Senior Vice President

New York, New York, United States

Pay
$200,000–250,000/year · BaseAnnual period assumed — pay source
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.
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Employment
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What you’ll work on

Full posting

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.

  • Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem.

  • Own platform reliability, SLAs, DataOps practices, and incident management.

  • Lead architectural strategy, tooling decisions, and platform investment recommendations.

From the employer’s posting
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.
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.
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.

What you’ll bring

All qualifications

Core experience

  • 12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions
  • Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support
  • 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
  • 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
Qualification wording
12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions
Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support
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
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

Tools in this posting

  • Databricks
  • Snowflake
  • dbt
Source — Tool mentions in context
- 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
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.
- 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 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

Benefits in the posting

Full benefits wording
  • 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).

From the employer’s posting.

Job description

View original posting ↗

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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Pay
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.
Location & working pattern

New York, New York, United States

Working pattern and location restrictions need checking in the full posting.

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Status in our records
Active
First seen by us
Oct 6, 2026
Recorded sightings
3
Last seen by us
Oct 8, 2026
Employer says posted
Sep 28, 2026

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