Pay
In line with similar jobs
$200K–$250K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Data Engineering Lead - Senior Vice President
Reads like a Data Leadership role: running a data team.
New York, New York, United States
Live, first seen by us 39 days ago- 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingiCapital 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 the enterprise data architecture, including Snowflake, semantic layer, and data products
Set standards for engineering, governance, security, observability, quality, and documentation
Own platform reliability, SLAs, DataOps practices, and incident management
Develop and execute the multi-year Data Engineering roadmap
Build and lead a high-performing Data Engineering organization
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.
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.
Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities.
Build and lead a high-performing Data Engineering organization and culture.
What you’ll bring
All qualificationsCore 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
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 202639 days ago
- Recorded sightings
- 96
- Last seen by us
- Nov 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 39
Similar jobs usually come down between day 8 and day 57.
At iCapital, jobs usually come down by about day 61.
From 9,498 similar postings that came down, and 23 of iCapital’s. Coming down is not always a hire.
iCapital is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Databricks
- dbt
- Informatica
- Snowflake
Where the posting names them
- 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
- 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
- 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
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
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.