Senior Data Architect

15 hours ago


Austin, Texas, United States Electronic Arts Full time

About the Role:

We are seeking a highly skilled Data Architect to lead our Sports analytics architecture forward and deliver value to the business. As part of the Adrenaline Architecture team, you will engage with a wider range of team members, including analytics leaders, analysts, game studios, data engineering, data science partners, and other teams.

Key Responsibilities:

  • Design short and long-term data architecture roadmaps aligned with our goals
  • Partner with senior leadership to translate complex business use cases into comprehensive data models and applicable insights
  • Lead the transition towards a Data Lakehouse architecture and AI-driven product designs
  • Lead large-scale collaborative efforts across multiple teams and franchises
  • Conduct architecture and engineering assessments, developing improvement plans and best practices
  • Develop conceptual, logical, physical, and transformational data models to support advanced analytics and AI/ML solutions
  • Design distributed workflows and pipelines for real-time data ingestion, transformation, and analysis at scale with Data Engineering
  • Oversee architecture implementation in collaboration with Engineering Tech leads
  • Improve current architecture and analytics workflows through proactive improvements and process innovations
  • Collaborate with Governance Teams to establish data standards, including business vocabularies, naming conventions, and transformation rules
  • Partner with Platform Teams to define data serialization formats, ensuring data integrity and telemetry consistency across domains
  • Collaborate with Data Governance on data quality and metadata management practices
  • Use domain knowledge to frame complex design in the context of critical sports products
  • Present advanced technology and thought leadership to diverse audiences, bridging the gap between technical and business perspectives
  • Demonstrate expertise in large-scale data processing and big data technologies
  • Exhibit understanding of complex database structures and expert-level querying skills
  • Stay up to date with latest trends in analytics solutions and distributed design frameworks

Requirements:

  • 10+ years of experience in data architecture, analytics, and big data technologies
  • Experience leading complex data projects and driving architectural innovation
  • Experience with modern data architectures, including Data Lakehouse concepts and AI/ML integration
  • Expert-level skills in data modeling, ETL/ELT processes, and distributed systems design
  • Expert on cloud-based data warehouse. (Preferably Snowflake)
  • Experience with real-time data processing and streaming technologies (e.g., Kafka, Spark Streaming)
  • Proficiency in SQL/Python


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