Mid-Senior level
Posted April 4, 2026
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Thinking about this job
Responsibilities
Commitments
Responsibilities
- Lead the architecture and implementation of multi-country data integrations supporting platforms such as RELEX, GTM, ELERA, and e-commerce
- Define, document, and enforce enterprise standards for data modeling, lineage, quality, and governance
- Partner with Enterprise Architecture to align data frameworks with cloud, security, and integration strategy
- Optimize data warehouse performance, monitoring, and FinOps cost governance
- Design and oversee observability, alerting, and operational readiness for production pipelines
- Lead code reviews and technical design discussions across regions
- Mentor data engineers and contribute to PriceSmart’s Data Engineering playbook and best practices
- Support cross-functional teams by translating complex business and operational needs into scalable data solutions Technical environment
- Platforms: Snowflake, Informatica Cloud (CDI / CAI), dbt Cloud, Azure Fabric
- Languages: SQL, Python (Scala a plus)
- Tooling and practices: CI/CD pipelines, observability, lineage tools, FinOps dashboards, DataOps What success looks like
- Consistent, high-quality data across countries and regions
- Delivery of governed, reusable data models supporting enterprise analytics
- Reduced latency and optimized cost per pipeline
- Strong adoption of standards and architectural patterns
Commitments
You are a self-starter who doesn’t need direct supervision to motivate you for success
You enjoy sharing your quirkiness and talents with your coworkers
Enjoy working hard
Full of energy for the things one sees as challenging
Not fearful of acting with a minimum of planning
The ability to remain calm when dealing with unforeseen constraints Our Commitment We not only embrace and celebrate the diversity of our membership base and communities but also strive to achieve the same in our employees.
At PriceSmart, we are committed to equal employment opportunity, regardless of race, color, religion, national origin, gender, sexual orientation, age, disability, veteran status, or any other class protected by applicable law.
Not Met Priorities
What still needs stronger evidence
Requirements
- Platforms: Snowflake, Informatica Cloud (CDI / CAI), dbt Cloud, Azure Fabric
- Languages: SQL, Python (Scala a plus)
- Tooling and practices: CI/CD pipelines, observability, lineage tools, FinOps dashboards, DataOps What success looks like
- Consistent, high-quality data across countries and regions
- Delivery of governed, reusable data models supporting enterprise analytics
- Reduced latency and optimized cost per pipeline
- Strong adoption of standards and architectural patterns
- Demonstrated impact through mentorship, knowledge reuse, and capability uplift across teams Bring your passion and expertise (Who you are)
- 5–8+ years of experience as a Data Engineer or Senior Data Engineer working with enterprise-scale data platforms
- Proven experience architecting and operating data pipelines across multiple systems or regions
- Deep expertise in SQL and Python, with strong data modeling skills
- Hands-on experience with Snowflake and Informatica Cloud in production environments
- Strong understanding of data governance, security, and compliance in regulated or multi-country contexts
- Experience implementing CI/CD, DataOps, and observability practices for data platforms
- Comfortable leading technical discussions and influencing architectural decisions
- Able to mentor engineers and communicate complex technical concepts to both technical and business stakeholders
- Fluent in English and Spanish, with experience working in multicultural, distributed teams Some important intangibles
Preferred Skills
- Hands-on experience with Snowflake and Informatica Cloud in production environments
- Fluent in English and Spanish, with experience working in multicultural, distributed teams Some important intangibles
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize the greatest contributions to the company can come from anywhere in the organization, and we know that the next one could be yours! Whats unique about this job (What you’ll do) The Senior Data Engineer role sits at the intersection of enterprise architecture, regional operations, and modern data platforms. As a Senior Data Engineer, you will lead the technical design, governance, and evolution of data pipelines that integrate PriceSmart’s core enterprise platforms across multiple countries. This role is not just about delivery, it’s about setting standards, driving modernization, and mentoring engineers to build resilient, production-grade data systems at scale. You’ll partner closely with Enterprise Architecture, security, and product teams to ensure our data ecosystem is compliant, performant, and future-ready. What you’ll do
Lead the architecture and implementation of multi-country data integrations supporting platforms such as RELEX, GTM, ELERA, and e-commerce
Define, document, and enforce enterprise standards for data modeling, lineage, quality, and governance
Partner with Enterprise Architecture to align data frameworks with cloud, security, and integration strategy
Optimize data warehouse performance, monitoring, and FinOps cost governance
Design and oversee observability, alerting, and operational readiness for production pipelines
Lead code reviews and technical design discussions across regions
Mentor data engineers and contribute to PriceSmart’s Data Engineering playbook and best practices
Support cross-functional teams by translating complex business and operational needs into scalable data solutions Technical environment
Platforms: Snowflake, Informatica Cloud (CDI / CAI), dbt Cloud, Azure Fabric
Languages: SQL, Python (Scala a plus)
Tooling and practices: CI/CD pipelines, observability, lineage tools, FinOps dashboards, DataOps What success looks like
Consistent, high-quality data across countries and regions
Delivery of governed, reusable data models supporting enterprise analytics
Reduced latency and optimized cost per pipeline
Strong adoption of standards and architectural patterns
Demonstrated impact through mentorship, knowledge reuse, and capability uplift across teams Bring your passion and expertise (Who you are)
5–8+ years of experience as a Data Engineer or Senior Data Engineer working with enterprise-scale data platforms
Proven experience architecting and operating data pipelines across multiple systems or regions
Deep expertise in SQL and Python, with strong data modeling skills
Hands-on experience with Snowflake and Informatica Cloud in production environments
Strong understanding of data governance, security, and compliance in regulated or multi-country contexts
Experience implementing CI/CD, DataOps, and observability practices for data platforms
Comfortable leading technical discussions and influencing architectural decisions
Able to mentor engineers and communicate complex technical concepts to both technical and business stakeholders
Fluent in English and Spanish, with experience working in multicultural, distributed teams Some important intangibles
You feel connected to our mission and values: Integrity, Respect, Accountability, Passion Community, and Continuous Improvement
You are a self-starter who doesn’t need direct supervision to motivate you for success
You enjoy sharing your quirkiness and talents with your coworkers
Enjoy working hard
Full of energy for the things one sees as challenging
Not fearful of acting with a minimum of planning
The ability to remain calm when dealing with unforeseen constraints Our Commitment We not only embrace and celebrate the diversity of our membership base and communities but also strive to achieve the same in our employees. At PriceSmart, we are committed to equal employment opportunity, regardless of race, color, religion, national origin, gender, sexual orientation, age, disability, veteran status, or any other class protected by applicable law. We are proud to be an equal opportunity employer. Get to know us PriceSmart was founded with a purpose: to inspire and impact the lives and businesses of our Members, our employees, and our communities through the ethical delivery of the best quality goods and services at the lowest possible prices. Throughout the years, we have constantly asked ourselves how we can do more and have a greater impact. We want to prove that we are a company that can grow, be profitable, and do good in the world, and we have learned that it takes a great organizational culture to achieve that goal. At PriceSmart, you can look forward to company events, anniversaries celebrating our employees with more than 20, or 30 years of tenure, volunteering and learning opportunities, and just a great company filled with curious, kind folks. Dreaming up and sharing ideas aren’t responsibilities reserved for certain teams or leaders; the challenge of building our own culture is on all of our shoulders. That sense of community and belonging keeps us excited to walk through the door every day, wherever that door may be, in any of our 13 countries.
Lead the architecture and implementation of multi-country data integrations supporting platforms such as RELEX, GTM, ELERA, and e-commerce
Define, document, and enforce enterprise standards for data modeling, lineage, quality, and governance
Partner with Enterprise Architecture to align data frameworks with cloud, security, and integration strategy
Optimize data warehouse performance, monitoring, and FinOps cost governance
Design and oversee observability, alerting, and operational readiness for production pipelines
Lead code reviews and technical design discussions across regions
Mentor data engineers and contribute to PriceSmart’s Data Engineering playbook and best practices
Support cross-functional teams by translating complex business and operational needs into scalable data solutions Technical environment
Platforms: Snowflake, Informatica Cloud (CDI / CAI), dbt Cloud, Azure Fabric
Languages: SQL, Python (Scala a plus)
Tooling and practices: CI/CD pipelines, observability, lineage tools, FinOps dashboards, DataOps What success looks like
Consistent, high-quality data across countries and regions
Delivery of governed, reusable data models supporting enterprise analytics
Reduced latency and optimized cost per pipeline
Strong adoption of standards and architectural patterns
Demonstrated impact through mentorship, knowledge reuse, and capability uplift across teams Bring your passion and expertise (Who you are)
5–8+ years of experience as a Data Engineer or Senior Data Engineer working with enterprise-scale data platforms
Proven experience architecting and operating data pipelines across multiple systems or regions
Deep expertise in SQL and Python, with strong data modeling skills
Hands-on experience with Snowflake and Informatica Cloud in production environments
Strong understanding of data governance, security, and compliance in regulated or multi-country contexts
Experience implementing CI/CD, DataOps, and observability practices for data platforms
Comfortable leading technical discussions and influencing architectural decisions
Able to mentor engineers and communicate complex technical concepts to both technical and business stakeholders
Fluent in English and Spanish, with experience working in multicultural, distributed teams Some important intangibles
You feel connected to our mission and values: Integrity, Respect, Accountability, Passion Community, and Continuous Improvement
You are a self-starter who doesn’t need direct supervision to motivate you for success
You enjoy sharing your quirkiness and talents with your coworkers
Enjoy working hard
Full of energy for the things one sees as challenging
Not fearful of acting with a minimum of planning
The ability to remain calm when dealing with unforeseen constraints Our Commitment We not only embrace and celebrate the diversity of our membership base and communities but also strive to achieve the same in our employees. At PriceSmart, we are committed to equal employment opportunity, regardless of race, color, religion, national origin, gender, sexual orientation, age, disability, veteran status, or any other class protected by applicable law. We are proud to be an equal opportunity employer. Get to know us PriceSmart was founded with a purpose: to inspire and impact the lives and businesses of our Members, our employees, and our communities through the ethical delivery of the best quality goods and services at the lowest possible prices. Throughout the years, we have constantly asked ourselves how we can do more and have a greater impact. We want to prove that we are a company that can grow, be profitable, and do good in the world, and we have learned that it takes a great organizational culture to achieve that goal. At PriceSmart, you can look forward to company events, anniversaries celebrating our employees with more than 20, or 30 years of tenure, volunteering and learning opportunities, and just a great company filled with curious, kind folks. Dreaming up and sharing ideas aren’t responsibilities reserved for certain teams or leaders; the challenge of building our own culture is on all of our shoulders. That sense of community and belonging keeps us excited to walk through the door every day, wherever that door may be, in any of our 13 countries.