Associate, Technology – Data Platform

Jordan Park Group•San Francisco, CA

1d•$100,000 - $120,000

About The Position

Jordan Park provides investment management and financial advice to a distinct community of individuals, families, and institutions. Our clients have made extraordinary contributions to business, philanthropy, government, and society. Our team is composed of empathetic problem solvers with depth and diversity of experience. We embrace complexity and navigate challenges to empower clients to achieve their optimal outcomes. Our mission is to enhance lives and legacies. Jordan Park is seeking a Technology & Data Engineering Associate to advance our data platform and data quality initiatives. This role operates at the intersection of data engineering, analytics, data quality management, and AI enablement. The Associate will design, build, and maintain production-grade data systems while partnering directly with executives, investment teams, operations, and client service professionals to drive measurable business outcomes. This is a hands-on technical role with meaningful ownership and visibility.

Requirements

Bachelors degree with 3–5 years of experience in Data Engineering, Analytics, Business Intelligence or related technical role
Advanced SQL proficiency (production-level experience)
Experience with dbt and Snowflake (or similar modern data stack)
Strong Python skills for data engineering and automation
Experience with Tableau or similar BI platform
Strong written and verbal communication skills
A positive, helpful and can-do attitude

Nice To Haves

Experience in wealth management, asset management, fintech, or financial services
Familiarity with Salesforce reporting and CRM data models
Experience building AI workflows or internal GPT tools
Experience with cloud infrastructure (AWS preferred)

Responsibilities

Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python)
Develop and manage orchestration workflows (Airflow or equivalent)
Create data ingestion processes and API integrations
Monitor pipeline reliability and performance; proactively resolve issues
Develop deep expertise in firm data, systems, and processes
Design reconciliation frameworks across systems and automate data validation/exception reporting
Perform detailed variance analysis and root cause investigations
Partner with operations and finance teams to ensure reporting integrity
Architect and maintain Tableau dashboards used across the firm
Train and support internal stakeholders on self-service analytics
Develop Python-based tools for API integrations, data transformations, ad-hoc in-house applications & tooling
Build reusable modules and maintain code standards
Create automation solutions that reduce manual operational effort
Work closely with the Chief Technology Officer (CTO) to deliver clear executive summaries of data findings, operational trends, etc.
Document project discovery and project management artifacts
Translate technical work into business impact
Present findings to senior leadership