Senior Data Engineer - Snowflake & dbt

About the role

APPLY, an Agentic Customer Experience partner for consumer and entertainment brands, is looking for a Senior Data Engineer to join its Data team. You will build and own data foundations on modern cloud data warehouses such as Snowflake using dbt-based ELT, from source audits and migration guidelines through modelling to activation pipelines into customer engagement platforms such as Braze. The role is hybrid/remote-friendly, with candidates based in Latin America (preferably in PT or ET hours) and those in Santiago, Chile able to work from the Santiago office.

Key responsibilities

• Define data requirements and the technology stack with internal teams, vendors, clients and stakeholders.
• Audit source systems (CRM and marketing platforms such as Salesforce and Sailthru) and define migration guidelines.
• Translate business requirements into technical specifications for data streams, integrations, transformations, databases and data warehouses.
• Design and build transformation layers in dbt on Snowflake, including identity resolution, semantic and reporting layers.
• Build and maintain pipelines that activate data in customer engagement platforms such as Braze.
• Run discovery audits of digital products and produce data foundation recommendations.
• Work in git-based workflows with code review, dbt tests and CI/CD, and define data architecture standards, including modelling, metadata, security and reference data.
• Document data sources, ELT/ETL processes, data dictionaries and metadata, and maintain data lineage.
• Implement data security and access controls, and research and recommend new technologies.

Required profile

• Bachelor's degree in Computer Science, Information Systems or a related field.
• At least 5 years of experience in data engineering or related fields.
• Experience with data modelling, identity resolution and data migrations, and with integrating data into platforms such as Braze, Salesforce Marketing Cloud or Sailthru.
• Fluent English and strong written communication skills.

Required skills

• Expert SQL and hands-on Snowflake experience.
• Strong hands-on experience with dbt and git-based workflows (CI/CD).
• Dimensional and semantic data modelling; working knowledge of Python and at least one cloud platform (AWS or GCP).
• Nice to have: Snowflake or dbt certification, Spark/PySpark, Docker and Kubernetes, consumer or digital-product data experience.

What we offer

• Modern tools and systems, with training budgets and mentorship focused on Agentic AI.
• Generous vacation policy and flexible work arrangements (remote, in-office or hybrid).
• An inclusive, safe environment.