Senior Data Engineer

About the role

ABOUT APPLY

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com.

LOCATION: APPLY is hybrid/remote-friendly. The preferred candidate should be based in Latin America, preferably working in hours that align to PT (Pacific Timezone) or ET (Eastern Timezone). Candidates located in Santiago, Chile are able to work out of our Santiago office as remote/hybrid employees. Candidates located outside of Santiago, Chile will be fully remote employees.

THE ROLE:

RESPONSIBILITIES: -

Work with internal disciplines, vendors, clients and stakeholders to define data requirements and the technology stack for projects.

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Audit source systems (CRM and marketing platforms such as Salesforce and Sailthru) and define migration guidelines: what to migrate, in what structure and in what order, for execution by internal or third-party teams.

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Translate business requirements into technical specifications including data streams, integrations, transformations, databases and data warehouses.

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Design and build transformation layers in dbt on Snowflake, including identity resolution, semantic layer and consumption/reporting layers.

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Build and maintain pipelines that activate data in customer engagement platforms (e.g., Braze).

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Run discovery audits of digital products (apps, games, web) and produce data foundation recommendations.

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Work in git-based workflows with code review, dbt tests and existing CI/CD processes for warehouse objects.

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Define the data architecture framework, standards and principles, including modelling, metadata, security and reference data; analyze and optimize existing architectures and models for performance and cost.

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Create a plan of activities required to populate new solutions with all current and historical data.

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Implement data security and access controls to ensure compliance with company policies and regulation.

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Document data sources, ELT/ETL processes, data dictionaries and metadata to facilitate data discovery; maintain data lineage and data flow documentation.

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Research, evaluate and recommend new technologies, and develop best practices for data management, security and privacy.

REQUIREMENTS: -

A Bachelor's degree in Computer Science, Information Systems, or a related field.

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At least 5 years of experience in data engineering or related fields.