Data Engineer

Who you are

• 8+ years of experience in data engineering, software engineering, or a related data-focused technical role
• Proven ability to partner with business, product, and technical stakeholders to deliver scalable data solutions and platform capabilities
• Expert-level Python and SQL skills with experience building modular, testable, and production-grade software
• Strong experience designing analytical data models, semantic layers, shared metrics, and reusable data products
• Deep expertise with cloud data platforms such as Snowflake, Databricks, or similar modern data ecosystems
• Experience building scalable batch and streaming data pipelines in enterprise environments
• Proficiency with orchestration and transformation frameworks such as Airflow, Dagster, Prefect, dbt, or comparable tools
• Strong software engineering fundamentals, including object-oriented and functional programming methodologies
• Understanding of modern AI architectures, including agent-based systems, retrieval patterns, semantic context modeling, knowledge representations, and enterprise data grounding
• Experience building, supporting, or scaling enterprise data platforms used across multiple teams, products, or business domains
• Strong product mindset with the ability to identify reusable platform capabilities versus one-off solutions
• Excellent written, verbal, and cross-functional communication skills
• Knowledge of graphs, ontologies, metric stores, and other machine-readable representations of business context
• Expertise in LLM applications, agent orchestration, retrieval pipelines, embeddings, vector search, and tool-calling architectures
• Able to evaluate AI systems for accuracy, consistency, security, and retrieval quality

What the job involves

• ICapital 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
• Partner 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