Staff Data Engineer — Build Scalable Analytics Platform (Hybrid)

PVH (Tommy Hilfiger/Calvin Klein); San Francisco (CA); Hybrid; USD 170,000 - 210,000; Full time

Benefits offered by this job

Equity

Private health insurance

Parental leave

Flexible time off

Work from home Mon & Fri

Mental health support

Lifestyle stipend

Wellness days

Winter break

Job summary

Front is looking for a Staff Data Engineer to own key parts of our analytics platform, designing scalable pipelines and data models across multiple regions. You will collaborate with data scientists, analysts, and product stakeholders to deliver fast, secure, and reliable data systems.

You will architect end-to-end data solutions, automate processes for self-service, ensure data quality and SLAs, and evaluate tools while applying AI fluency to improve reliability and automation.

Qualifications

• BS/BA in Computer Science or equivalent practical experience.
• At least 5 years as a Data Engineer or similar ETL-focused role.
• Experience managing a Snowflake data warehouse.
• Strong programming fundamentals; modular, maintainable code.
• Advanced SQL and Python; comfortable with large datasets.
• Knowledge of big data tech (HDFS, EMR, Redshift, Spark, Flink, Presto).
• Experience with workflow tools (Airflow).
• Proactive, service-oriented mindset; able to manage multiple projects.

Responsibilities

• Architect data pipelines that provide fast, robust end-to-end solutions for internal analytics users.
• Automate manual processes and enable self-service data consumption.
• Own the quality of analytics data and meet Data Team SLAs.
• Design data schemas and optimize queries for large datasets.
• Collaborate with data scientists, analysts, and product stakeholders to align on needs.
• Keep data available and secure across multiple data centers and regions.
• Implement monitoring and logging to ensure traceability and audibility.
• Evaluate tools/technologies for viable solutions and manage data vendors.
• Apply AI fluency to accelerate development, improve quality, and drive reliability.

Skills

Data engineering

Advanced SQL

Python

Big data

Airflow

Data modeling

Collaboration

Problem solving

Education

BS/BA in CS

Tools

Snowflake

Airflow

HDFS

Spark

Redshift

EMR

Presto

Job description

Front is looking for a Staff Data Engineer to own key parts of our analytics platform, designing scalable pipelines and data models across multiple regions. You will collaborate with data scientists, analysts, and product stakeholders to deliver fast, secure, and reliable data systems.

You will architect end-to-end data solutions, automate processes for self-service, ensure data quality and SLAs, and evaluate tools while applying AI fluency to improve reliability and automation.