Full-Time

Staff Data Architect

FanDuel

FanDuel

1,001-5,000 employees

Fantasy sports and online U.S. sportsbook

Data & Analytics

Senior, Expert

Washington, DC, USA

Required Skills
AWS
REST APIs
Data Analysis
Requirements
  • 7+ years' experience in database management, IT systems and Big Data & AI/ML engineering experience.
  • Deeply technical and analytical with implementation and architectural experience in Streaming, Big Data, AI/ML engineering and Data Warehousing.
  • Hands on experience leading large-scale database, ETL/ELT deployment in batch or streaming ingestion, and AI/ML projects with building feature software.
  • Experience with data migration techniques and process planning.
  • AWS Certification such as AWS Solutions Architect or AWS Certified Big Data.
  • Strong experience in data security/compliance experience, or equivalent.
  • Strong problem-solving skills, including optimizing new processes.
  • Ability to influence multiple teams, functional areas, and levels of leadership.
  • Ability to see around corners, predict needs, and identify patterns.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Excellent leadership, communication, presentation, and facilitation skills are necessary
  • Strong analytical and problem-solving skills.
  • Bachelor's degree in computer science, or a related field.
Responsibilities
  • Partner with the rest of the Data Architecture team to lead the development and execution of the data architecture roadmap, aligning with the organization's overall data strategy and business objectives.
  • Define data models, standards, and governance policies to ensure consistent and high-quality data across the organization.
  • Identify and evaluate emerging technologies and trends in data management and analytics, recommending strategic adoption to enhance data capabilities.
  • Design and implement scalable and maintainable data pipelines and data platforms, leveraging cloud platform tools and technologies.
  • Partner with data engineers, product managers and other stakeholders to translate business requirements into technical solutions, bridging the gap between strategy and execution.
  • Oversee the performance and optimization of data systems, constantly seeking ways to improve efficiency and cost-effectiveness.
  • Foster a collaborative environment within the data engineering team, promoting knowledge sharing and continuous learning.
  • Effectively communicate the value and impact of data architecture to various stakeholders, ensuring alignment and buy-in.
  • Advocate for and secure resources to support the ongoing development and maintenance of the data infrastructure.

Company Stage

N/A

Total Funding

$4.6B

Headquarters

New York, New York

Founded

2009

Growth & Insights
Headcount

6 month growth

8%

1 year growth

24%

2 year growth

77%

Benefits

From peer-to-peer learning to industry conferences, there are a number of ways to develop your career

From your head to your toes we’ve got you covered with our 100% health insurance coverage

We keep a well-stocked supply of snacks and refreshments to keep you going throughout the day

Flexible hours and vacation scheduling let you work when you’re at your best

We provide the latest tech and equipment, you get the job done