Staff Data Architect

FanDuel

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$170,000–$210,000 / yr
Posted
36 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $190k
$133k most similar roles pay here $229k

This role pays more than 53% of similar roles. Most pay $142,400–$217,943 — the shaded band above. At the midpoint, this role pays about $190k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About FanDuel

FanDuel is a leading online sports betting and daily fantasy sports platform operating across the United States, offering sportsbook wagering, casino games, and horse racing to millions of customers.

FanDuel currently has 13 open roles on FindRole.

Listed pay typically runs $156,000–$204,750 across 13 roles with salary data.

Most-posted roles

View all roles at FanDuel

At a glance

TL;DR · Staff Data Architect

Staff Data Architect joins the Data Architecture team to drive the strategic integration of AI and machine learning into the company's data infrastructure. This role focuses on designing an agentic, AI-assisted data pipeline factory while building AI-native tools that transform raw data assets into differentiated products. The architect will define standards for advanced ML workloads, including vector and unified search, while ensuring all data flows remain interoperable and reproducible. Key technical requirements include proficiency with Databricks as a data lakehouse, dbt, Spark, and modern data modeling. Candidates must have experience in batch and streaming environments, along with expertise in large-scale data warehousing and big data systems. The role requires a systems-first approach to LLMs and agents, ensuring they function within defined architectural boundaries while maintaining high standards for performance, cost, and reliability across the platform.

What you'll do

  • Design the architectural vision for integrating AI into data ingestion, modeling, and delivery processes.
  • Architect an agentic "data pipeline factory" using automated patterns and guardrails to build and maintain production pipelines.
  • Develop AI-native tools and services built on reusable architectural foundations rather than one-off solutions.
  • Define architecture and scope for advanced ML workloads, including vector search and unified data discovery.
  • Establish reference architectures and standards to ensure ML data flows are interoperable, observable, and reproducible.
  • Prevent technical fragmentation by driving convergence on shared patterns across all AI and ML initiatives.
  • Evaluate emerging technologies to determine where the company should invest in and standardize new tools.
  • Oversee the performance, cost, and reliability of scaling AI and ML data systems.

What we're looking for

  • Bachelor's degree in computer science or a related field.
  • 7+ years of experience in data architecture, data platforms, Big Data, and ML engineering.
  • Hands-on architectural experience with Data Warehousing, Streaming, Big Data, and AI/ML systems.
  • Proficiency with Databricks as a data lakehouse, plus dbt, Spark, and modern data modeling.
  • Experience architecting production-grade ML workloads including deep learning and vector or unified search.
  • Experience using AI tooling and agents to accelerate development while maintaining engineering standards like version control and automated testing.
  • Proven ability to lead large-scale data and AI/ML projects in batch and streaming environments.
  • Strong communication, leadership, and stakeholder management skills to align cross-functional teams.

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