Sr. Data Engineer, Popeyes

Restaurant Brands International • Miami, FL

86d

About The Position

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.

Requirements

• 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.

Nice To Haves

• Python for data tooling.
• AWS Glue/Spark.
• Streaming/CDC familiarity.
• Metrics/semantic layers.

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.

Benefits

• Comprehensive global paid parental leave program.
• Free telemedicine and mental wellness support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees