Senior Associate, Data Engineer

The Senior Associate, Data Engineer will join the Data & Analytics function within our Technology division, supporting our venture and growth business by designing, building, and evolving the firm's enterprise data platform. This role will help shape the long-term vision for ICONIQ's data ecosystem by delivering scalable, secure, and high-performing data infrastructure that powers analytics, reporting, artificial intelligence, and business insights.

• →Design, build, and optimize scalable data models, pipelines, and workflows that power the Growth data platform.
• →Develop modern data architecture and engineering standards that improve platform scalability, reliability, security, and performance.
• →Build robust data ingestion and transformation frameworks that integrate internal and third-party data into trusted, production-ready datasets.
• →Lead data governance initiatives, including metadata management, data lineage, access controls, monitoring, and data quality.
• →Develop data infrastructure that enables advanced analytics, artificial intelligence, machine learning, and enterprise knowledge management.
• →Partner closely with business stakeholders and engineering teams to translate evolving business needs into scalable technical solutions.
• →Optimize Snowflake performance through warehouse design, query optimization, and governance best practices.
• →Evaluate emerging technologies and contribute to the ongoing evolution of ICONIQ's data platform and AI capabilities.

• 8+ years of experience in data engineering, analytics engineering, or a related technical field.
• Deep expertise designing and operating enterprise-scale data platforms using Snowflake.
• Advanced experience with Structured Query Language, including data modeling, query optimization, and performance tuning.
• Strong Python programming skills for data engineering, automation, orchestration, and scalable pipeline development.
• Experience building cloud-native data architectures, ingestion frameworks, and orchestration workflows.
• Proven experience implementing enterprise data governance, metadata management, lineage, access controls, and data quality practices.
• Experience supporting artificial intelligence and machine learning use cases through modern data infrastructure.
• Familiarity with AI tools and technologies is a plus. We value team members who are curious about leveraging AI to enhance productivity, streamline workflows, and drive innovation.

We expect candidates to be fluent in using AI tools to enhance their work. You’re welcome to use AI in preparing your application where it adds value, but your materials must be accurate and reflect your own experience, judgement and voice.

We care most about how you think, what you’ve personally contributed, and how you use tools like AI to drive better outcomes. Strong candidates demonstrate both authenticity and leverage, using AI to elevate their work while maintaining clear ownership.

Throughout the interview process, you should be prepared to speak in depth about your experience and contributions in your own words.

We recognize that our people are our greatest strength, and the diverse skills and perspectives they contribute are integral to our success as a global organization. As an equal opportunity employer, we are deeply committed to fostering diversity and inclusion across our company. We do not tolerate discrimination based on any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. Additionally, we provide reasonable accommodations to support applicants and employees with religious practices, mental health needs, physical disabilities, or other conditions requiring support.