Senior Associate, Data Engineer

ICONIQ • San Francisco, CA

2h • $180,000 - $200,000 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Comprehensive Medical, Dental and Vision Insurance starting on your first day of employment.
• Life and disability insurance coverage as well as family and wellness benefits including mental health benefits, fertility benefits, and back-up childcare.
• A matching 401(k) program.
• Commuter Benefits program.
• Stipends to support wellness and hybrid working arrangements.
• We support employees who wish to pursue professional designations/certifications and offer tuition reimbursement in addition to an allocation for books and other supplies needed for an individual's coursework.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed