You're Viewing 1 Of 95,000+ Jobs On OysterLink
Senior Manager, Data Streaming Engineering - Guest Profile
Job Overview
Employment Type
Full-time
Compensation
Salary
Range $106,000.00 - $152,200.00
Work Schedule
Standard Hours
Benefits
Health Insurance
Dental Insurance
Paid Time Off
Retirement Plan
Life insurance
Disney park admission
Employee Discounts
Job Description
Disney Experiences Technology is a division within The Walt Disney Company dedicated to crafting unparalleled digital experiences that bring the magic of Disney's vacation brands to life. This team powers the immersive digital environments for some of the world’s most beloved destinations, including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani - A Disney Resort & Spa, and Disney Vacation Club. At the heart of their innovation lies a commitment to the seamless integration of technology with the enchanting experiences Disney is known for, spanning multiple lines of business such as Attractions & Entertainment, Food & Beverage, Resorts &... Show More
Job Requirements
- Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field or equivalent work experience
- 10+ years of experience in data or software engineering
- minimum 5+ years leading teams that build and operate streaming data systems
- deep knowledge of event streaming technologies
- proficiency with stream processing engines
- experience with data architecture and lakehouse patterns
- demonstrated data security and privacy expertise
- strong communication and leadership skills
- ability to mentor and grow high-performing teams
- experience in incident and operational management
- proficiency in programming languages such as Java, Scala, Kotlin, or Python
- understanding of privacy regulations such as GDPR and CCPA
Job Qualifications
- 10+ years of experience in data engineering or software engineering including a minimum of 5+ years leading teams that build and operate real-time/streaming data systems in production
- deep expertise in event streaming technologies and patterns including Kafka/Confluent, Kafka Connect, Schema Registry (Avro/Protobuf/JSON), and CDC frameworks such as Debezium
- experience with stream processing engines like Apache Flink, Spark Structured Streaming, or Beam/Dataflow
- advanced knowledge in data architecture and lakehouse patterns including Parquet/Iceberg/Delta and stream-to-lake/warehouse integrations
- experience delivering automated, highly available ETL/ELT pipelines with robust CI/CD, infrastructure as code, and container orchestration (Kubernetes)
- expertise in data warehouse platforms such as Snowflake and BigQuery with advanced knowledge in Snowflake and streaming integrations
- proficiency with orchestration, testing, and data quality tools like Airflow, dbt, Anomalo, Great Expectations, OpenLineage
- strong observability and reliability practices including metrics, tracing, logging, alerting, SLO/SLI design, and incident management
- hands-on programming experience in Java/Scala/Kotlin/Python
- demonstrated expertise in data security and privacy including consent management, PII handling, tokenization, access controls, GDPR/CCPA compliance
- outstanding communication, storytelling, stakeholder management skills
- inclusive, collaborative leadership with ability to develop geographically distributed technical teams
- ability to operate with urgency and discipline in a fast-paced environment
Job Duties
- Own the end-to-end strategy and roadmap for real-time Guest Profile data capabilities including identity events, consent signals, profile enrichment, and downstream activation integrations
- lead the design and implementation of a modern, event-driven streaming architecture with strong SLAs/SLOs for latency, freshness, reliability, and data quality
- define and enforce data contracts, schemas, and governance for Guest-related events and profile attributes
- build and operate stateful streaming pipelines for identity resolution, account/device/household stitching, and profile graph updates
- implement privacy-by-design into every streaming path including consent and preference enforcement in-stream, data minimization, purpose limitation, and secure handling of sensitive and PII data
- create real-time data products and services that power personalization, marketing activation, service recovery, and analytics
- establish operational excellence including production readiness standards, incident response, on-call, capacity planning, and robust observability for streaming workloads
- build, mentor, and grow a diverse, world-class engineering team
- communicate strategy, trade-offs, and technical direction to executive and non-technical audiences
- influence across a matrixed environment to drive adoption of streaming-first patterns
- evaluate and introduce emerging capabilities to improve speed, safety, and cost efficiency
- stay current on consumer privacy regulations and platform changes and translate these into proactive adjustments to the Guest data streaming strategy
Job Qualifications
Experience
Expert Level (7+ years)
Job Location
Don't Stop At One Job - There's More
Create a free profile
We'll match you with best jobs
Get job offers faster
Search For More Opportunities:
More Jobs Like This:
View All