Senior Data Platform Engineer: AI-Driven Scale & Impact

Branch International; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work

Medical insurance

Paid time off

Parental leave

WFH stipend

Home office budget

Professional development

Team lunches

Job summary

Branch International in the United States is seeking a Senior Data Platform Engineer to build and evolve the core data platform that powers analytics, underwriting models, experimentation, and reporting.

You will collaborate with Product, Data Science and Business teams to design scalable systems using a modern stack (dbt, Airflow, Snowflake/BigQuery/Redshift) and to ensure reliability, governance, and a great developer experience.

We value ownership, rapid learning, and cross‑functional teamwork.

Qualifications

• 4–7 years building production-grade data/backend systems.
• Strong knowledge of distributed systems and data storage.
• Experience with Python or Go and SQL fluency.
• Entrepreneurial mindset with ownership and collaboration.

Responsibilities

• Design and build the data platform to support TB-scale datasets with reliability and cost efficiency.
• Build standardized ingestion frameworks (batch + near-real-time) with schema evolution and data quality controls.
• Own warehouse/lakehouse modeling patterns with clear semantic layers for self-serve analytics.
• Implement data governance, security, lineage, retention, and auditability.
• Partner with stakeholders to translate needs into platform roadmaps and delivery plans.
• Scale backend services to handle growing traffic and complexity.

Skills

Python

Go

SQL

Distributed systems

Data modeling

Tools

dbt

Airflow

Dagster

Snowflake

BigQuery

Redshift

Job description

Branch International in the United States is seeking a Senior Data Platform Engineer to build and evolve the core data platform that powers analytics, underwriting models, experimentation, and reporting.

You will collaborate with Product, Data Science and Business teams to design scalable systems using a modern stack (dbt, Airflow, Snowflake/BigQuery/Redshift) and to ensure reliability, governance, and a great developer experience.

We value ownership, rapid learning, and cross‑functional teamwork.