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Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Regina, SK
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Saint John, NB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Regina, SK
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Fredericton, NB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Kitchener, ON
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Saint John, NB
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Victoria, BC
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Saskatoon, SK
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 5 days ago
Senior Program Manager, Fraud Intelligence Solution
RBC
Mississauga, ON
Full-time
Snowflake, dbt, graph data platforms, or document AI.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Halifax, NS
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
St. John's, NL · Greater St. John's Metropolitan Area
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Ottawa, ON
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Toronto, ON
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Burlington, ON
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Moncton, NB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Moncton, NB
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 4 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Winnipeg, MB
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Vancouver, BC
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Halifax, NS
Full-time
Design and deploy modern data platforms across cloud and hybrid environments, including Snowflake, Databricks, and SAS Viya.
Added 4 days ago
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Winnipeg, MB
Full-time
Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks.
Added 4 days ago
Director, Architect - Investment Management/Fund Services
IG Wealth Management
ON · Ontario, Canada
Full-time
Advanced knowledge of enterprise data architecture, including relational databases (SQL Server, Oracle) and cloud data platforms like Google BigQuery or Snowflake.
Added 4 days ago
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Halifax, NS
Full-time
Added 12 days ago
AI Pre-Sales Consultant
Thinkpivot
Toronto, ON
Full-time
Data Background: High-level understanding of Data Warehouses (Snowflake, Redshift) and Data Lakes to understand data lineage and retrieval strategies. This helps when working with our Data…
Added 5 days ago
Senior BSA / Data Migration Specialist
J&M Group
Toronto, ON
Contract
…Salesforce and surrounding eco system including DataStage, Snowflake, Tableau and any legacy applications The ideal candidate will have strong business-facing skills combined with hands-on…
Added 5 days ago
Senior Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Snowflake: Data warehousing, virtual warehouses, clustering, security.

CNN

Senior Analytics Developer

Ottawa, ON, Canada
Kanata, ON, Canada

Pay: Pay Range: $138,000.00 - $220,800.00 salary per year.
Job type: Full-time
Apply by: Oct 18, 2026
Posting language: English
Posted: Sep 17, 2026

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Original job description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!

Your New Role

CNN is seeking a Sr. Analytics Developer with subject matter expertise in analytic workstreams and data analysis. You have demonstrated a pattern of independently shipping analytical solutions. You are comfortable working on cross-functional team and diverse stakeholder requirements.

Your work powers audience analytics, personalization, and content recommendations for millions of users daily across CNN.com, the CNN mobile app, and connected TV experiences. You will drive architecture decisions, set engineering standards, and mentor other engineers on the team. If you thrive on owning complex systems end-to-end and care deeply about building reliable, secure infrastructure at scale - this is the role.

Your Role Accountabilities

Participate in the architectural direction for CNN’s Data Platform - own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams

Develop, design, and implementation of 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 both 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 improvements to the data platform

Deliver high-quality, well-tested code - improve code, documentation, and operational runbooks with each iteration

Communicate designs, architectural decisions, and technical tradeoffs clearly to engineers and leaders at all levels - represent the data platform domain with autonomy

You create functional level impact and deliver more complex features. You also help drive clarity and define problems proactively.

Evangelize and oversee implementation of data engineering best practices - your code, documentation, and operational standards are the model others follow

You think about the long-term health of your work, your monitoring, your alerting, and your documentation. You nurture all of these in parallel to your engineer responsibilities.

Qualifications & Experience

Required

5+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large-scale data systems

3+ years of experience with 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

Deep familiarity with dbt or similar transformation frameworks

Familiarity with streaming and event-driven architectures (Kafka, Kinesis, Flink) at scale

Experience building or supporting AI/ML pipelines, feature stores, or model training infrastructure

Familiarity with data governance, data quality frameworks, and data cataloging tools

Experience in media, streaming, digital advertising, or consumer-facing products at scale

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $138,000.00 - $220,800.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.This is a newly created position.

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More about this job

Responsibilities

The Senior Analytics Developer will design and implement CNN's data platform, focusing on real-time data use cases and scalable pipelines. They will also mentor junior engineers and drive architectural decisions to ensure the reliability and performance of data services.

Requirements

Candidates must have at least 5 years of software engineering experience with deep expertise in data platform architecture and large-scale systems. Proficiency in programming languages like Java, Go, Python, or SQL and experience with modern data warehouses like Snowflake or Databricks are required.

Skills

Data engineering
Data platform architecture
Snowflake
Databricks
Data modeling
ETL architecture
Java
Go
Python
SQL
Streaming architectures
Kafka
Kinesis
Flink
Data governance
Cloud infrastructure

Benefits

Health insurance coverage
Employee wellness program
Life and disability insurance
Retirement savings plan
Paid holidays
Sick time
Vacation

Visa sponsorship

Not detected in the job text

Keywords

Data engineering
Data platform
Snowflake
Databricks
Java
Go
Python
SQL
ETL
Data modeling
Streaming
Kafka
Kinesis
Flink
Analytics
Data science
Machine learning
AI
Data governance
Software engineering
Cloud
Architecture
Pipeline
Media
Digital advertising

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