Principal Data Engineer

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Warner Bros. Discovery seeks a Principal Data Engineer – Data for the Data & Shared Services organization. We are looking for a talented Principal Data Engineer to join our Data Engineering Team. The person works across multiple functional and technical groups, educates technical and non-technical stakeholders, effectively manages expectations, and help establish priorities. They must drive project delivery within established time frames, and scope while delivering business value and simultaneously planning for and managing future requirements.

Strong analytical skills and passion for Data is a must.

• Leads Engineering, prototypes, and builds complex data management systems that combine core data sources into data warehouses, cloud data lake, data science platforms or other accessible structures.
• Leads Data Modeling, collaborates with data architecture and Enterprise Integration teams, Data Governance and Data compliance team members.
• Analyze business processes to create requirements, specifications, and systems solution designs in partnership with engineering team members.
• Develop and enforce best practices for data management, adhering to architectural standards, security, and compliance etc.
• Expert knowledge of relational databases, data warehouses and SQL skills.
• Expert knowledge of data integration, data pipeline and data delivery.
• Recommends and implements data reliability, efficiency, and quality improvements.
• Build data pipelines: create, maintain, and optimize workloads from development to production for specific use cases.
• Enthusiasm to learn and find opportunities to enhance and adapt in daily engineering activities is highly desired.
• Execute and oversee the analysis and remediation of root causes, including deficiencies in technology, process, or resource capabilities.
• Lead the team in monitoring and tuning applicable code to assure optimal availability, performance, and utilization of resources.
• Knowledge of data visualization and business intelligence.
• Lead the team in monitoring and tuning application code to assure optimal availability, performance, and utilization of resources.

• Bachelor’s degree in science, Statistics, Engineering, Business Administration or similar field of study
• 14+ years of experience building and scaling data platforms.
• Knowledge of supporting data sets for Home Entertainment, Games DVD/Digital business, Content sales and Licensing.
• Knowledge of SAP supply chain, APO, Order management, Trade spends, promotions, POS, Royalty, Forecasting and cash collections.
• Expert in one or modern data replication and data integration tools (for example Informatica,
• Expert in one or more modern data lake and data warehouse tools (for example Teradata, Redshift, Snowflake, etc.)
• Expert in one or more modern advanced analytics tools (for example Spark, Data Bricks, Python, AWS Glue, etc.)
• Experience in one or more modern advanced business intelligence & visualization tools (for example Business Objects, Tableau, Looker, etc.)
• Experience in software delivery through continuous integration (for example git, bitbucket,
• Experience in one or more automation and scheduling tools (for example Redwood, Airflow, etc.)
• Experience with Atlassian Suite (JIRA, Confluence)
• Experience with Excel spreadsheets, modeling, and reporting.
• Knowledge of cloud-based environments like AWS is a plus.
• Must be able to pay close attention to complex details and…