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Warner Music Group

Senior Forward Deployed Engineer, Data & AI

Warner Music Group

. Partner with the Product Solutions team and business stakeholders across Warner Music Group .

Posted 9/21/2026full-timeRemote • CanadaSenior💰 CA$112,000 - CA$165,000 per yearWebsite

Core Competencies

Role fit
Core 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

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Applicant 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 & technologies
ETLPython

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