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Senior Forward Deployed Engineer, Data & AI
Warner Music Group. Partner with the Product Solutions team and business stakeholders across Warner Music Group .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing full-stack solutions, including backend applications in Python, data pipelining, and leveraging AI tools like Databricks and Snowflake. Strong ability to manage stakeholder expectations and communicate effectively with diverse audiences.
Highest-signal resume keywords
Full-Stack DevelopmentPython ProgrammingData Pipelining (ETL)Snowflake and DatabricksAI Tool Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonData PipeliningETLBackend DevelopmentStreamlitGenie CodeCortex CodeNotebooksModular ArchitectureOperational Playbooks
Soft Skills
Strong CommunicationCustomer EngagementProblem-SolvingOpenness to FeedbackPassion for Learning
Tools & Technologies
DatabricksSnowflakeAI ToolsStreamlitAgent Development Kit (ADK)
Industry Keywords
Automation SolutionsData-Driven SolutionsMusic IndustryStakeholder ManagementInternal Marketplace
Tech Stack
Tools & technologiesETLPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Performance based annual bonus
- Equal opportunity and inclusion-focused workplace