Staff Data Engineer: AI-Ready Data Platform Architect

Clara; Ciudad de México; Hybrid; MXN 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Stock options from day one

Annual learning budget

Hybrid work model

English as working language

Job summary

Clara is seeking a Staff Data Engineer to own the architecture of our data platform. This role is hands-on, focusing on building scalable pipelines and enabling AI-ready data for the company. You will partner with leadership to shape strategic data roadmaps and govern data in a regulated fintech context.

You’ll work across Engineering, Product, Risk and Marketing to ensure data is captured accurately and used safely. This hybrid role allows time between office, customers and home.

Qualifications

• 10+ years of experience in data engineering or software engineering with a data focus, including scaling data platforms at a top-tier tech company.

Responsibilities

• Own the technical vision and architecture of Clara's data platform, from ingestion and storage to modeling, serving and consumption
• Design and build scalable, reliable data pipelines (batch and streaming) for analytics, ML and operational use cases
• Lead AI enablement: structure, document and expose data for AI agents across the company
• Define and drive best practices in data modeling, testing, observability, CI/CD, lineage and data quality
• Partner with the Director of Data to translate business goals into technical roadmaps and evaluate build-vs-buy decisions
• Implement data governance foundations: access control, PII handling, auditability and compliance
• Advance self-service data platform for analysts, data scientists and business teams
• Collaborate with Engineering, Product, Risk, Growth, Marketing and Operations to ensure data capture at source
• Raise the technical bar through code reviews, design reviews and documentation
• Stretch and adapt to a dynamic, fast-paced environment

Skills

SQL

Python

Spark

Airflow

Dagster

Data Modeling

Data Quality

Governance

Cloud (AWS/GCP/Azure)

dbt

Databricks

Snowflake

BigQuery

Communication

Education

Bachelor's degree in Computer Science/Engineering/Math or equivalent

Tools

Spark

Airflow

Dagster

dbt

Databricks

Snowflake

BigQuery

Job description

Clara is seeking a Staff Data Engineer to own the architecture of our data platform. This role is hands-on, focusing on building scalable pipelines and enabling AI-ready data for the company. You will partner with leadership to shape strategic data roadmaps and govern data in a regulated fintech context.

You’ll work across Engineering, Product, Risk and Marketing to ensure data is captured accurately and used safely. This hybrid role allows time between office, customers and home.