Data Engineering Lead - Senior Vice President at iCapital | NY, US | Rezi

Data Engineering Lead - Senior Vice President at iCapital

Data Engineering Lead - Senior Vice President

iCapital · NY, US

1 weeks ago

Data Engineering Lead - Senior Vice President

iCapital · NY, US

9 days ago
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About the Role

iCapital seeks a Data Engineering Senior Vice President to lead the evolution of the enterprise data platform, powering AI, automation, analytics, and data-driven decision-making. This role defines and executes the architectural vision for a modern, AI-ready data ecosystem, overseeing platform architecture, engineering standards, and scalable data product development. The individual will shape 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.

Requirements

  • 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.

Skills

  • Snowflake
  • Databricks
  • dbt
  • Informatica
  • Data Engineering
  • Cloud Data Platforms
  • Data Governance
  • Data Security
  • Data Observability
  • Data Quality
  • Data Documentation
  • DataOps
  • Analytics Engineering
  • Semantic Layer Development
  • Metadata Management
  • MDM Platforms
  • AI
  • ML
  • LLM

Location

  • New York, NY

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Senior Vice President
  • 12+ years of experience in data engineering
  • 5+ years leading large-scale engineering organizations

Salary/Compensations

  • $200,000 to $250,000

Benefits

  • Equity for all full-time employees
  • Annual performance bonus
  • Employer matched retirement plan
  • Generously subsidized healthcare
  • 100% employer paid dental
  • 100% employer paid vision
  • 100% employer paid telemedicine
  • 100% employer paid virtual mental health counseling
  • Parental leave
  • Unlimited paid time off (PTO)

About the Company

  • iCapital is a financial services firm.
  • 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/

Equal Opportunity

  • 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.