Senior Data Engineer

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 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 dbt transformation layers 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 recommend data foundations, and plan data migrations with mapping and historical backfill.
• Define data architecture standards, security and access controls, and document sources, processes, dictionaries and lineage.
• Evaluate new technologies and write guidelines and recommendations for clients and third parties.

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 dimensional and semantic modelling, identity resolution and data migrations.
• Experience integrating data with platforms such as Braze, Salesforce Marketing Cloud or Sailthru.
• Fluent English and strong client-facing communication skills.

Required skills

• Expert SQL and hands-on Snowflake.
• Strong ELT/ETL and dbt (modelling, tests, documentation, macros).
• Git workflows, code review and CI/CD for warehouse objects.
• 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.

What we offer

• Modern tools and a flexible work arrangement (remote, in-office or hybrid).
• Training budget and mentorship focused on Agentic AI.
• Generous vacation policy.