Staff Data Architect, AI & ML Platform Leader

FanDuel

United States

Hybrid

USD 170,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Health plans (including fertility &amp
Mental health support
Fitness benefits
PTO & sick leave
Annual bonus and long-term incentive
401k with up to 5% match
Commuter benefits
Pet insurance
FanDuel Total Rewards

Job summary

FanDuel is seeking a Staff Data Architect within Data Architecture, focused on AI & ML. You will own the architectural direction for using AI to accelerate data pipelines and for building AI-native capabilities that turn data into differentiated products.

You will partner with data, ML, and engineering teams to translate ambitious ideas into concrete architecture, while overseeing performance, cost, and reliability of AI/ML data systems as they scale.

Qualifications

  • Bachelor’s degree in computer science or a related field.
  • Demonstrated ML engineering experience and data-architecture focus.
  • Strong leadership and cross-functional collaboration capabilities.

Responsibilities

  • Own the architectural vision for applying AI across the data platform and for building AI-native capabilities.
  • Design and evolve AI-native tools to leverage data assets with durable foundations.
  • Oversee performance, cost, and reliability of AI/ML data systems and scale these workloads.

Skills

Data architecture
ML engineering
Databricks
DBT
Spark
Data modeling
Leadership
Cross-functional
Security compliance
Communication

Education

Bachelor’s degree in computer science or related field

Tools

Databricks
dbt
Spark

Job description

FanDuel is seeking a Staff Data Architect within Data Architecture, focused on AI & ML. You will own the architectural direction for using AI to accelerate data pipelines and for building AI-native capabilities that turn data into differentiated products.

You will partner with data, ML, and engineering teams to translate ambitious ideas into concrete architecture, while overseeing performance, cost, and reliability of AI/ML data systems as they scale.

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