Senior Analytics Developer

Warner Bros. Discovery

. Participate in the architectural direction for CNN’s Data Platform .

Posted 9/17/2026full-timeKanata • CanadaSenior💰 $138,000 - $220,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and platform architecture, with a strong focus on delivering scalable data pipelines and real-time data solutions. Proficient in data modeling, ETL architecture, and leading technical direction while advocating for best practices in data services.

Highest-signal resume keywords

Data EngineeringData Platform ArchitectureSnowflakeJavaETL Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSchema DesignReal-Time Data ProcessingETL ArchitectureProgramming in JavaProgramming in GoProgramming in PythonSQLBuilding Data PipelinesData Governance

Soft Skills

MentoringCommunicationTechnical GuidanceCollaborationAdvocacy

Tools & Technologies

SnowflakeDatabricksKafkaKinesisFlinkDbt

Industry Keywords

Data Quality FrameworksData Cataloging ToolsMediaStreamingDigital Advertising

Tech Stack

Tools & technologies

ETLJavaKafkaPythonSQLGo

About the role

Key responsibilities & impact

Participate in the architectural direction for CNN’s Data Platform
Own data modeling, schema design, and platform capabilities serving Analytics, Data Science, ML, and AI teams
Develop, design, and implement CNN’s Data Platform for real-time data use cases
Mentor junior engineers through code reviews, design sessions, and technical guidance
Deliver scalable data pipelines for real-time streaming and batch processing
Drive best practices around security, performance, and reliability for data services
Contribute to technical roadmap planning and advocate for data platform improvements
Deliver high-quality, well-tested code
Improve code, documentation, and operational runbooks with each iteration
Communicate designs, architectural decisions, and technical tradeoffs to engineers and leaders
Represent the data platform domain with autonomy
Evangelize and oversee implementation of data engineering best practices
Maintain monitoring, alerting, and documentation for long-term system health
Build solutions powering audience analytics, personalization, and content recommendations for CNN experiences

Requirements

What you’ll need

5+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large-scale data systems
3+ years of experience working with Snowflake, Databricks, or other modern enterprise data warehouses
Experience with data modeling, ETL architecture, and designing schemas that serve diverse analytical and ML use cases
Strong programming experience across at least two of Java, Go, Python, and SQL
Demonstrated experience leading technical direction and influencing best practices
Preferred: Experience working on end-to-end analytics pipelines from event collection to producing business-ready semantics
Preferred: Deep familiarity with dbt or similar transformation frameworks
Preferred: Familiarity with streaming and event-driven architectures (Kafka, Kinesis, Flink) at scale
Preferred: Experience building or supporting AI/ML pipelines, feature stores, or model training infrastructure
Preferred: Familiarity with data governance, data quality frameworks, and data cataloging tools
Preferred: Experience in media, streaming, digital advertising, or consumer-facing products at scale

Benefits

Comp & perks

career defining opportunities
Thoughtfully curated benefits
Tools to explore and grow into your best selves
Health insurance coverage
Employee wellness program
Life and disability insurance
Retirement savings plan
Paid holidays and sick time
Vacation
Annual bonuses
Short- and long-term incentives
Program-specific awards