Lead Data Engineer - Solutioning

What You'll Do

• Serve as the primary technical counterpart to Product Managers, engaging early in the intake process to assess feasibility, clarify scope
• identify data dependencies Translate business requirements and product requests into well-defined data solution briefs, including data sourcing strategy, transformation logic
• consumption patterns Partner with Data Architects to translate solution requirements into architectural patterns and data model designs that align with enterprise standards Engage in estimation and planning activities, providing sizing guidance and technical risk assessment for product intake requests Lead the design, construction
• management of technology architecture, solutions
• software aimed at gathering, managing
• using both structured and unstructured data from various sources Develop robust processes and structures to optimize data flow, routing
• storage, meticulously considering business and technical requirements
• deploying cloud and local storage solutions as necessary Use advanced technical tools and programming expertise to implement data cleansing, organization, transformation
• maintenance tasks, integrating automation and innovative methodologies like big data, artificial intelligence
• machine learning Define design standards and quality assurance procedures for software and systems development, ensuring seamless data compatibility, operability
• integrity across all data connections, transmissions
• storage systems Analyze internal and external business and product needs regarding data operations, suggesting adjustments and improvements to systems and storage to keep up with ongoing demands Help engage around the estimation and planning of highly sophisticated scalable projects and their budget allocations You will be expected to stay up to date with emerging technologies so you can make informed recommendations May be required to provide support escalation, coordinate the ongoing operations
• support the enhancement of existing tools as needed Required Qualifications: Minimum 7 years of related work experience Advanced development skills in cross-platform coding languages such as SQL, Python, Java
• SQL and scripting expertise for data extraction, transformation
• building performant datasets, with a focus on automation Extensive experience with relational databases and NoSQL databases (e.g., Snowflake, Databricks, Oracle, MongoDB, DynamoDB, Redis) Proficient in cloud technologies including AWS (e.g., Lambda, Kinesis, DMS, Managed Flink) and Google Cloud Platform (GCP) for data storage, processing
• analysis Comfortable working in an agile environment, collaborating with cross-functional teams
• adapting to changing requirements A visionary who motivates teams to excel and fosters creativity, consistently driving excellence in all endeavors An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging Familiar with SQL, Python, cloud data platforms (AWS, Azure
• modern data stack tools such as Snowflake, Databricks, Spark, Airflow
• dbt, with a desire to further develop technical expertise in data engineering tools, methodologies
• emerging technologies Preferred Qualifications: Proven ability to lead technical solutioning sessions with cross-functional stakeholders, including Product Managers, Architects
• Engineering leads A collaborative, solutions-oriented mindset with a track record of driving clarity and momentum in ambiguous or complex delivery environments Strong understanding of data modeling concepts including dimensional modeling, data vault
• medallion/lake house architectures Demonstrated ability to bridge business and technical domains — translating product and stakeholder requirements into executable data engineering solutions Experience in a formal solutions engineering, technical product management
• data product owner capacity Familiarity with data governance, data quality frameworks
• metadata management platforms (e.g., Alation, Unity Catalog, Apache Atlas) Experience with data contract design and producer/consumer interface standards Required Education: Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering
• comparable field of study, and/or equivalent work experience Preferred Education: Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering
• comparable field of study, and/or equivalent work experience #DISNEYTECH #LI-AF2 The hiring range for this position in FL is $148,300.00-$198,800.00 per year.
• The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
• A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
• Job Posting Segment: DX Technology Job Posting Primary Business: Emerging Tech & Data Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-07-28