Radial Entertainment · 1 day ago
Senior Data & Analytics Engineering Manager
Radial Entertainment is the largest independent, ad-supported streaming network and film/TV distributor worldwide. They are seeking a Senior Data & Analytics Engineering Manager to lead the expansion of their data pipelines and analytics infrastructure. The role involves technical leadership and hands-on development to ensure the delivery of reliable, analytics-ready data across various teams.
FilmFilm ProductionMedia and EntertainmentTV Production
Responsibilities
Manage and grow our data/analytics engineering function, serving as both a day-to-day technical lead and a manager of engineers
Work with variety of teams to onboard data and support an expanding suite of reporting, advanced analytic and operational capabilities
Evolve Data Warehouse schema in accordance with modeling best practices for appropriate analytic and operational use-cases
Maintain and expand core ELT orchestrations with an emphasis on augmenting data observability and controls across different layers of our modern data stack
Implement automated tests and QA processes to ensure the quality and reliability of all contributions
Collaborate with data science stakeholders to ensure platform supports robust feature engineering and selection across machine learning methodologies
Synergize contributions with greater dev team and help support best practices for efficient DevOps
Qualification
Required
4-7 years of relevant work experience in data intensive applications, preferably around high-volume streaming data, audience analytics, ads data
3+ years as an individual contributor / maintainer of batch, streaming pipelines + orchestrations in a data warehousing or data science context
Proficiency in one general purpose programming language, preferably python, as well as experience scripting in bash and configuring infra
Strong Experience with Cloud Data tooling (AWS preferred)
Demonstrated experience integrating and orchestrating containerized workflows / applications (ECS, EKS)
Strong foundations in data modeling techniques, (dimensional, object, app access patterns) and transformations (DBT preferred)
Expert SQL skills writing/tuning complex, efficient analytic queries against MPP database (Snowflake)
Strong Development lifecycle fundamentals: automated testing (pytest, selenium, bandit), CI/CD (Gitlab, git), agile estimation and planning
Familiarity with Tableau or similar BI data interfaces, architecture, optimizations, visuals
Experience integrating or experimenting with AI-augmented development workflows (Cursor, Copilot, etc.) and enthusiasm for generative AI infrastructure (RAG, agents, context management, observability)
Ability to balance technical leadership with hands on feature development where needed
Ability to translate strategic directives into specs and implementations
Ability to translate designs, implementations into documentation (ERDs, UML, docstring)
Adept at gathering feedback and requirements from technical and non-technical stakeholders
Preferred
Serverless tooling (AWS Lambda, Fargate, Glue (PySpark), serverless framework, AWS chalice)
Strong experience deploying and orchestrating containers (Docker/Kubernetes, AWS ECS/fargate)
CI/CD tooling (GitLab, Github Actions, Jenkins)
Infrastructure as Code (Terraform)
Deep experience with Prefect, Airflow or other related orchestration tool
Strong modeling experience with DBT
Experience within big data ecosystem (PySpark, HDFS, columnar file formats [parquet, ORC])
AI developer tools (Cursor, Claude Code, GitHub Co-Pilot)
Benefits
Paid Time Off: Holidays, Vacation, Paid Sick Leave, Personal Days
Full benefits package including 401(K) with match, medical, dental, vision, and more
Company
Radial Entertainment
Radial Entertainment is entertainment company that manages the content brands.
Funding
Current Stage
Growth StageLeadership Team
Recent News
2025-12-04
Company data provided by crunchbase