Data Engineer - Vice President

Data Engineer - Vice President About the RoleiCapital is seeking a strategic, product-oriented, and technical Data Engineer to help scale the Enterprise Analytics Platform and shape how data is accessed across the organization. This individual will lead the design and evolution of trusted, governed, and scalable data products that power analytics, reporting, operational workflows, and AI-driven capabilities. This is a hands-on, highly collaborative position that will directly influence iCapital's long-term data strategy, AI readiness, and enterprise data ecosystem.ResponsibilitiesPartner with business stakeholders, product managers, and Engineering teams to understand data usage patterns, requirements, and unmet needs across critical workflows.Translate business needs into data product strategies, technical requirements, platform capabilities, and measurable outcomes.Design and maintain governed semantic models, business metrics, entities, and contextual frameworks that support analytics, machine learning, and AI applications.Partner with Data Governance and domain owners to establish and enforce business definitions, ownership standards, calculations, and access policies.Collaborate with Analytics teams to ensure trusted and consistent metrics are accessible for reporting, dashboards, predictive analytics, and operational decision-making.Build, automate, and optimize scalable data pipelines and platform infrastructure that support enterprise growth and data-driven decision-making.Develop reusable frameworks and components for data ingestion, transformation, modeling, quality management, and observability.Drive platform reliability, scalability, monitoring, testing, and operational excellence through automation and continuous improvement.Qualifications8+ years of experience in data engineering, software engineering, or a related data-focused technical roleProven ability to partner with business, product, and technical stakeholders to deliver scalable data solutions and platform capabilitiesExpert-level Python and SQL skills with experience building modular, testable, and production-grade softwareStrong experience designing analytical data models, semantic layers, shared metrics, and reusable data productsDeep expertise with cloud data platforms such as Snowflake, Databricks, or similar modern data ecosystemsExperience building scalable batch and streaming data pipelines in enterprise environmentsProficiency with orchestration and transformation frameworks such as Airflow, Dagster, Prefect, dbt, or comparable toolsStrong software engineering fundamentals, including object-oriented and functional programming methodologiesUnderstanding of modern AI architectures, including agent-based systems, retrieval patterns, semantic context modeling, knowledge representations, and enterprise data groundingExperience building, supporting, or scaling enterprise data platforms used across multiple teams, products, or business domainsStrong product mindset with the ability to identify reusable platform capabilities versus one-off solutionsExcellent written, verbal, and cross-functional communication skillsKnowledge of graphs, ontologies, metric stores, and other machine-readable representations of business contextExpertise in LLM applications, agent orchestration, retrieval pipelines, embeddings, vector search, and tool-calling architecturesAble to evaluate AI systems for accuracy, consistency, security, and retrieval qualityBenefitsThe base salary range for this role is $160,000 to $200,000. 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 Twitter: @icapitalnetwork | LinkedIn: | Awards Disclaimer: 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.