Senior Data Architect Orlando

$161,100 - $239,700/Yr

Electronic Arts - Orlando, FL

Full-time - Senior

Orlando, FL

Publishing Industries

About the position

The Senior Data Architect at Electronic Arts will lead the design and implementation of data architecture strategies that align with business goals, particularly in the realm of sports analytics. This role requires a blend of technical expertise and leadership to drive architectural innovation and collaborate with various teams to enhance data-driven decision-making processes.

Responsibilities

• Design short and long-term data architecture roadmaps aligned with business 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.
• 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.
• Present advanced technology and thought leadership to diverse audiences, bridging the gap between technical and business perspectives.

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.

Benefits

• Paid time off (3 weeks per year to start)
• 80 hours per year of sick time
• 16 paid company holidays per year
• 10 weeks paid time off to bond with baby
• Medical/dental/vision insurance
• Life insurance
• Disability insurance
• 401(k) plan