Senior Forward Deployed Engineer building full-stack data and AI solutions for Warner Music Group. Automating workflows for music-label stakeholders using Python, Snowflake, Databricks, and Streamlit.
Responsibilities
Partner with the Product Solutions team and business stakeholders across Warner Music Group
Rapidly build and deploy automation and data- and AI-driven solutions
Deliver solutions that turn tasks taking weeks into workflows taking minutes
Work directly with stakeholders across labels and global functions
Develop full-stack solutions, including data pipelines and interoperability
Build backend applications in Python
Develop dashboards and Streamlit applications
Leverage Databricks and Snowflake AI tools, including Genie and Cortex
Use AI tools to design, build, and deploy production solutions
Establish system frameworks, operational playbooks, and technical guidelines
Contribute reusable modular assets to the internal marketplace
Align solutions with the Data and Insights engineering roadmap
Manage stakeholder expectations and keep customers informed
Requirements
At least 6 years of software engineering experience
Experience working with customers
Experience with Python
Experience with data pipelining, such as ETL
Experience with Snowflake and/or Databricks; one is sufficient
Ideally, experience with Genie Code or Cortex Code, Notebooks, and Streamlit
Ability to use AI tools to design, build, and deploy production solutions
Ability to work across backend, frontend, data pipelines, and AI tools
Ability to rapidly understand problem spaces and develop solutions without curated requirements
Strong communication skills with non-technical stakeholders from entry to executive level
Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code
Experience establishing system frameworks such as the Agent Development Kit (ADK)
Experience authoring operational playbooks and technical guidelines
Background in modular architectures and reusable internal marketplace assets
Passion for learning and openness to feedback
Music fan motivated by supporting artists’ careers and compensation
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