ICONIQ's Investment Management division needs to architect, build, and maintain scalable systems that power analytics, reporting, and operational decision-making across the organization.
Requirements
- Strong proficiency in SQL and data warehousing tools such as Snowflake, Redshift, or BigQuery.
- Skilled in Python or JavaScript.
- Experience with BI tools like Looker, Tableau, or Power BI.
- Hands-on experience with APIs and data-driven web applications.
- Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD practices.
- Stay updated on emerging technologies in full stack and data engineering.
Responsibilities
- Design and maintain scalable data pipelines and integrations that support enterprise-wide analytics.
- Develop robust data models, warehouse schemas, and APIs to ensure efficient access and integrity.
- Build user-friendly dashboards, visualizations, and self-service tools for internal stakeholders.
- Translate business needs into technical solutions by partnering with cross-functional teams.
- Implement best practices in data architecture, governance, and security.
- Ensure high performance and availability of data systems in collaboration with infrastructure teams.
- Continuously monitor and improve data quality and development processes.
Other
- 6+ years of experience in full stack or data engineering.
- Strong interpersonal and communication skills; thrives in both collaborative and independent work.
- A curiosity about AI tools and an interest in leveraging them to boost productivity and innovation.
- Applicants are expected to work onsite in our New York office in accordance with our hybrid working policy.
- Smart-casual dress code.
