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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - Solutioning - **Company:** The Walt Disney Company - **Location:** United States - **Experience:** Expert - **Salary:** $148,300.0 - $198,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Cloud Computing, Information Systems, Data Governance, Data Mining, Data Vault Modeling, Relational Databases, Dimensional Modeling, Amazon DynamoDB, Python (Programming Language), Meta-Data Management, MongoDB, NoSQL, Oracle (Applications), Software Product Management, Redis, Software Tools, Cloud Services, Scala (Programming Language), SQL Databases, Scripting, Google Cloud, Data Storage Technologies, Snowflake, Apache Spark, Information Technology, Apache Flink, Data Pipelines, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/20ff840f-59a0-4227-a29c-b1e3244ea515/lead-data-engineer-solutioning ## About the Role * Minimum 7 years of related work experience \n * Advanced development skills in cross-platform coding languages such as SQL, Python, Java, and Scala. \n * SQL and scripting expertise for data extraction, transformation, and building performant datasets, with a focus on automation \n * Extensive experience with relational databases and NoSQL databases (e.g., Snowflake, Databricks, Oracle, MongoDB, DynamoDB, Redis) \n * Proficient in cloud technologies including AWS (e.g., Lambda, Kinesis, DMS, Managed Flink) and Google Cloud Platform (GCP) for data storage, processing, and analysis \n * Comfortable working in an agile environment, collaborating with cross-functional teams, and adapting to changing requirements \n * A visionary who motivates teams to excel and fosters creativity, consistently driving excellence in all endeavors \n * An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging \n * Familiar with SQL, Python, cloud data platforms (AWS, Azure, or GCP), and modern data stack tools such as Snowflake, Databricks, Spark, Airflow, or dbt, with a desire to further develop technical expertise in data engineering tools, methodologies, and emerging technologies \n, * Proven ability to lead technical solutioning sessions with cross-functional stakeholders, including Product Managers, Architects, and Engineering leads \n * A collaborative, solutions-oriented mindset with a track record of driving clarity and momentum in ambiguous or complex delivery environments \n * Strong understanding of data modeling concepts including dimensional modeling, data vault, and medallion/lake house architectures \n * Demonstrated ability to bridge business and technical domains - translating product and stakeholder requirements into executable data engineering solutions \n * Experience in a formal solutions engineering, technical product management, or data product owner capacity \n * Familiarity with data governance, data quality frameworks, and metadata management platforms (e.g., Alation, Unity Catalog, Apache Atlas) \n * Experience with data contract design and producer/consumer interface standards ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - 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