Solutions Engineer
Listed on 2025-11-27
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IT/Tech
Data Analyst, Data Engineer, Data Science Manager, IT Support
Solutions Engineer
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are storytellers and innovators, creators and builders, entertainers and engineers, working with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions worldwide.
Here are a few reasons why we think you’d love working here:
- Building the future of Disney’s media: Our technologists design and build the products and platforms that will power our media, advertising, and distribution businesses for years to come.
- Reach, Scale & Impact: Disney’s technology and products serve as the signature doorway for fans’ connections with the company’s brands and stories across Disney+, Hulu, ESPN, ABC and more.
- Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex, distinctive technical problems.
Ad Platforms is responsible for Disney’s industry‑leading ad technology and products – driving advertising performance, innovation, and value across all media platforms.
We are looking for a motivated Data Analytics / Business Intelligence (BI) Solutions Engineer to be responsible for the day‑to‑day operations in our Data & BI channel. The ideal candidate has experience operationalizing advertising data to resolve complex delivery issues and optimize the advertising pipeline, with proven leadership, urgency, and problem‑solving skills in high‑volume, production environments.
Responsibilities- Ensure monitoring and alerting on production services are in place, and assist in the resolution of production incidents.
- Triage and troubleshoot operational issues, providing Tier 2/3 support.
- Deliver on channel‑specific key performance metrics (KPM) to track channel health and growth.
- Develop strong partnerships with ad sales, business intelligence, engineering, product management, and analytics leaders to focus on strategic and tactical objectives.
- Maintain detailed operational documentation for internal and external consumption.
- Suggest optimization and growth strategies, help manage key development milestones and deployments, and monitor effectiveness.
- Analyze and communicate the impact of key strategy, market, or product changes.
- 3+ years in data analytics, BI, or data science – ideally in digital media or advertising.
- Advanced SQL skills and experience with big‑data tools such as Snowflake, Presto, Spark, Datadog, and Athena.
- Skilled at building and maintaining scalable data pipelines.
- Proficiency in at least one programming language (Python, Java, or JavaScript).
- Hands‑on experience with Apache Airflow for workflow management.
- Familiarity with BI platforms (Micro Strategy, Tableau, Databricks, Qlik).
- Understanding of data observability tools (Datadog, Grafana).
- Comfortable working with large datasets (terabytes+).
- Agile development experience, including sprint planning in Jira.
- Strong collaboration and communication skills across teams.
- Able to explain complex concepts to technical and non‑technical audiences.
- Skilled in documentation and presentation tools (Confluence, PowerPoint, Lucid Chart).
- Analytical thinker with a team‑first mindset and problem‑solving drive.
- Experience with digital advertising systems and ecosystems.
- Experience managing financial systems or building financial reports.
- Experience using data analytics to triage and troubleshoot advertising workflows.
- Experience with network topologies, systems architecture overviews, and entity–relationship diagrams (ERD).
- Bachelor’s degree in Computer Science, Data Analytics, Applied Mathematics, Statistics, or a related technical field, or equivalent experience.
The…
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