Sr. Data Engineer, Popeyes

Popeyes • Full-time • Miami, Florida, United States • $72.67k - $135.49k / year • 1m ago

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories.

RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.

RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.

Popeyes runs on trusted, well-modeled data. We’re hiring a Senior Data Engineer to own the data warehouse end-to-end, blending modern Lakehouse practices (medallion) with classic Kimball dimensional modeling. You’ll partner closely with analytics and business stakeholders to anticipate needs, model clean and flexible data, and ensure our teams can make fast, confident decisions.

This position is based in Miami, FL and is in the office 5 days a week.

Role & Responsibilities:

Own the warehouse: set modeling standards, review PRs, manage environments, and drive a roadmap for conformed dimensions and high-quality facts.
Model the business (Kimball-first): define grains, conformed dimensions, SCD1/2, surrogate keys, late-arriving/early-arriving data, bridge tables, and audit patterns.
Build in dbt: develop models, snapshots, macros, seeds, tests (unique/not null/relationships/accepted values), tags, and exposures; maintain docs and lineage. Medallion + marts: structure bronze silver
gold layers and publish well-governed marts for analytics and operational use.
Orchestrate & harden pipelines: run dbt Core against Snowflake via CI/CD (CircleCI/GitHub Actions) and/or Airflow/Glue; use Snowflake Tasks (and Streams where appropriate) for scheduled runs and dependency management; keep SLAs/freshness green.
Performance & cost: tune materializations (table/view/incremental/ephemeral), clustering/partitioning, MERGE strategies, and dependency graphs.
Data quality & governance: enforce data contracts, freshness checks, observability/alerting, documentation, and access controls (PII handling).
Partner with the business: work with Analytics, Ops, Marketing, and Restaurant Tech to translate questions into durable dimensional models and standard metrics.

Qualifications & Skills:

6+ years in data engineering with a focus on dimensional modeling and production warehouses.
Must-have: deep dbt expertise (models, snapshots, macros, tests, docs) and strong Kimball fundamentals (grain, conformed dimensions, SCD1/2, surrogate keys, slowly changing patterns, late/early data).
Advanced SQL and performance tuning in a cloud warehouse (Snowflake).
Experience owning a warehouse or major domain: SLAs, backlog, stakeholder comms, and incident prevention/response.
Pipeline orchestration experience (dbt Cloud/Airflow/Prefect/Glue) and CI practices for data.
Bonus: Python for data tooling, AWS Glue/Spark, streaming/CDC familiarity, and metrics/semantic layers.
A genuine passion for data with curiosity, product thinking, and pride in clean, well-modeled tables.

Tech Stack:

Core: SQL, dbt (Core with Snowflake), Git
Orchestration/ops: CI/CD (CircleCI/GitHub Actions) running dbt Core; Snowflake Tasks/Streams; Airflow/Prefect/AWS Glue (as needed)
Cloud: AWS (S3, IAM, Lambda/Glue), Terraform (nice to have)
Quality/observability: dbt tests & exposures, freshness checks, data contracts; Great Expectations/Monte Carlo (nice)
BI/consumption: Tableau (partnering, not dashboard ownership)

#Popeyes

Benefits at all of our global offices are focused on physical, mental and financial wellness. We offer unique and progressive benefits, including a comprehensive global paid parental leave program that supports employees as they expand their families, free telemedicine and mental wellness support.

Restaurant Brands International and all of its affiliated companies (collectively, RBI) are equal opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. RBI's policy applies to all terms and conditions of employment. Accommodation is available for applicants with disabilities upon request.

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Popeyes • Full-time • Miami, Florida, United States • $64.86k - $118.35k / year • 1m ago

Data Engineering

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