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As part of the Analytics & Insights team, this senior‑level engineer will build and maintain data models, visualizations, dashboards, and custom web applications that support Studio operational teams and Studio Executives. This is a highly technical, hands‑on role requiring deep expertise across Power BI, data engineering, modern cloud data platforms, and front‑end reporting frameworks. The ideal candidate is a self‑starter who can take initiative, drive technical solutions independently, and solve complex problems with minimal guidance. This role also works in an agile environment and leverages AI‑assisted development tools to accelerate delivery.
Job Responsibility:
Design, develop, and maintain Power BI dashboards, data models, semantic layers, and advanced DAX/Power Query logic
Migrate and modernize existing Power BI dashboards into a React‑based reporting framework
Build and maintain custom web applications using React and TypeScript
Create and optimize ETL/ELT pipelines using Databricks (primary) and Snowflake (secondary)
Work extensively with SQL, Python, and data warehousing architectures including medallion/lakehouse patterns
Author, diagnose, and modify Postgres objects (views, functions, stored procedures)
Use AI‑assisted coding tools (e.g., Cursor, Claude Code) for prototyping, documentation, and dev acceleration while meeting code quality standards
Translate business requirements into technical specifications for dashboards, data models, and applications
Collaborate with architects and technical leads to implement new standards and drive the studio’s data strategy forward
Work effectively with both onsite and remote team members
Requirements:
5+ years Power BI development experience (expert‑level)
5+ years Data Warehouse experience
3+ years with Databricks or Snowflake
Strong hands‑on expertise in SQL and Python (multiple years required)
1–2+ years professional React experience
Experience with AI‑assisted development tools
Strong understanding of data management, ETL processes, medallion architecture, and pipeline deployments
Excellent analytical and problem‑solving skills
Meticulous attention to detail
Ability to work independently with minimal supervision
Nice to have:
Experience orchestrating end‑to‑end data solutions
Experience with data governance and data security
Experience developing custom web applications
Familiarity with Media & Entertainment datasets
Familiarity with Financial data
Strong software engineering practices and code quality discipline