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.

What You’ll Do:

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.

Ideal Candidate Background:

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.

What We Offer:

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.
Smart-casual dress code.

Location: Applicants are expected to work onsite in our New York or San Francisco office in accordance with our hybrid working policy.

Compensation Range: ICONIQ is required by law to include a reasonable estimate of the salary range for this role. There are several factors taken into consideration in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At ICONIQ, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation terms. A reasonable estimate of the current salary range is $180,000-$200,000 together with the benefits listed above.

About ICONIQ

ICONIQ is a global investment firm elevated by an extraordinary community. With over $100B assets under management, we seek to build resilient investment portfolios, partner with inspired entrepreneurs transforming industries, manage our clients’ lives and legacies, and create uncommon opportunities across sectors and society.

When you submit a job application as a prospective employee (“your” or “your”) of ICONIQ Capital LLC (“ICONIQ,” “we,” “us,” or “our”), we or our service providers may collect, use, disclose and otherwise process personal information about you. Personal information collected by the Greenhouse portal is subject to the Greenhouse's privacy policy, available here [https://www.greenhouse.com/privacy-policy] and ICONIQ’s Privacy Policies available here [https://www.iconiqcapital.com/privacy-policies].

Use of AI in the Application Process

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.

Equal Employment Opportunity Statement:

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.

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Senior Associate, Data Engineer