About FINN
FINN is a fintech company building simple and transparent products that improve financial well‑being for underbanked employees. Our core offering gives people access to wages they have already earned, alongside tools to help them manage money better, build savings, access insurance, earn additional income, and use fairer financial services.

About The Role
We're seeking our first Data Platform Engineer to establish and evolve our data infrastructure foundation. This is a unique opportunity to build our data platform from the ground up, starting with essential infrastructure improvements and progressing toward a modern data mesh architecture. You'll be instrumental in transforming how our 50‑person FinTech processes and democratizes data across the organization.

Responsibilities
Immediate Priorities (First 3–6 months)

Implement and configure BigQuery policy tagging for data governance and access control — creating Terraform/code templates to allow Data Engineers to create tables with policy tagging configured

Set up dbt infrastructure and establish transformation pipelines and best practices — enabling Data Engineers to create and manage their own transformations

Design and implement core data pipeline infrastructure for reliable data ingestion and processing

Establish monitoring, alerting, and observability for data platform components

Create documentation and runbooks for platform operations

Platform Building (6–12 months)

Design and implement self‑service data infrastructure enabling teams to own their data products

Build tooling and automation to reduce friction in data pipeline development

Establish data quality frameworks and automated testing infrastructure

Create platform APIs and interfaces for seamless integration with AWS backend services





Implement cost optimization strategies for BigQuery and GCP resources

Data Mesh Evolution (12+ months)

Lead the transition to data mesh principles, starting with pilot domains

Design federated computational governance model

Build self‑serve data platform capabilities

Establish data product thinking and standards across engineering teams

Technical Requirements
Must Have

3+ years of experience building data infrastructure in cloud environments

Strong expertise with GCP BigQuery (partitioning, clustering, policy tags, IAM)

Hands‑on experience with Infrastructure as Code (Terraform preferred)

Proficiency in Python and SQL for data engineering

Experience with orchestration tools (Airflow, Prefect, or similar)

Understanding of data governance, security, and compliance requirements

Strongly Preferred

Experience with dbt for data transformation and modeling

Knowledge of streaming data pipelines (Pub/Sub, Dataflow)

Familiarity with data mesh concepts and domain‑driven design

Experience in FinTech or regulated industries

Background working in startups or scaling environments

This is a remote position, any location is welcome #Integral

What Makes You Successful

Builder Mindset: You're energized by creating foundations others will build upon

Pragmatic Approach: You can balance perfect architecture with shipping working solutions

Strong Communication: You can explain complex technical concepts to diverse stakeholders

Self‑Directed: You thrive in ambiguity and can define your own roadmap

Collaborative Spirit: You enjoy enabling other teams and treating them as customers

Our Stack

Data Infrastructure: GCP BigQuery, Cloud Storage

Backend: AWS services

Orchestration: To be determined by you

Transformation: dbt (to be implemented)

Languages: Python, SQL

IaC: Terraform

Methodology: Agile/Scrum

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📌 Data Platform Engineer (Nezahualcóyotl)
🏢 FINN
📍 Nezahualcóyotl