Senior Data Platform Engineer for Scalable Pipelines & ML

Grailed; Los Angeles (CA); On-site; USD 108,800 - 160,000; Full time

Benefits offered by this job

401K

Paid time off

Dental

Medical

Vision

Disability

Life insurance

Job summary

Grailed is seeking a Senior Data Engineer to build and scale data infrastructure for a leading fashion resale marketplace. You will own end-to-end data pipelines, ensure data quality and governance, and collaborate with Analysts, PMs, Engineers, Marketing, and Leadership to drive decision-making.

The ideal candidate has 5+ years in data/software engineering, strong SQL and Python skills, and hands-on experience with Snowflake, DBT, Airflow, Looker, and APIs.

Qualifications

• 5+ years of engineering experience, with a strong foundation in software and data engineering, and familiarity with analytics engineering.
• Experience with our stack: Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, Git.
• Deep experience building, maintaining, and architecting data pipelines end-to-end, ingestion through consumption.
• Strong SQL skills and proficiency in Python.
• Experience building and consuming APIs.

Responsibilities

• Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards.
• Build, maintain, and improve our data pipeline using our modern data stack (Snowflake, DBT, Airflow, Looker).
• Build centralized, durable, and reusable data models that serve the broader business, built with AI and ML consumption in mind.
• Build and maintain a semantic layer with canonical dimension and metric definitions.
• Partner closely with Analysts, PMs, Engineers, Marketing, Legal, Fraud, and other stakeholders, translating business needs into actionable data solutions.
• Build Reverse ETL pipelines in Python; use and build APIs to move and expose data.
• Proactively bring in new data sources, improve existing data models, and establish SLAs/SLOs for key business dependencies.
• Champion data governance and help elevate the organization's data maturity — establishing standards, closing gaps, and ensuring data is handled responsibly at every layer.
• Own data feeds that support in-product marketing, retention communications, and Growth Marketing feeds (i.e. Google Shopping, Meta, Tiktok, etc)

Skills

SQL

Python

Data pipelines

APIs

Analytics engineering

Tools

Snowflake

DBT

Airflow

Fivetran

Segment

Looker

Amplitude

Algolia

AWS/Lambda

Git

Job description

Grailed is seeking a Senior Data Engineer to build and scale data infrastructure for a leading fashion resale marketplace. You will own end-to-end data pipelines, ensure data quality and governance, and collaborate with Analysts, PMs, Engineers, Marketing, and Leadership to drive decision-making.

The ideal candidate has 5+ years in data/software engineering, strong SQL and Python skills, and hands-on experience with Snowflake, DBT, Airflow, Looker, and APIs.