# Data Engineering Lead - Senior Vice President

**Company**: iCapital
**Location**: New York, New York
**Work arrangement**: hybrid
**Experience**: executive
**Job type**: full-time
**Salary**: $200,000 to $250,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/icapitalnetwork/jobs/8802309002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d65eaf3e-a65

## Description

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.

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).

## Skills

### Required
- Snowflake
- Databricks
- data engineering
- cloud data platforms
- architecture
- security
- governance
- cost optimization
- pipeline design
- data quality
- observability
- data contracts
- documentation
- operational support
- analytics engineering
- semantic layer development
- modern data transformation frameworks
- dbt
- Informatica
- enterprise data catalog
- metadata management
- MDM platforms
- AI
- ML

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/icapitalnetwork/jobs/8802309002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)