Director, Data Engineering - Scale Snowflake Pipelines

Publicis Groupe

New York, Northern (NY, KY)

Hybrid

USD 135,000 - 217,000

Full time

14 days+
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Benefits offered by this job

Medical coverage
401K plan
Parental and family care leave
Tuition reimbursement

Job summary

Publicis Groupe seeks a Director, Data Engineering to lead the design, development and ongoing support of a data-driven software platform. The role requires driving multi-project work, partnering with product, analytics and engineering, and delivering scalable data solutions in a fast-paced environment.

You will design and optimize Snowflake/Databricks data pipelines, develop advanced database objects, and ensure data quality and performance across large datasets.

Qualifications

  • 7+ years of experience in Data Engineering with advanced SQL development and performance tuning.
  • Experience with Snowflake as an enterprise data warehouse.
  • Experience with Databricks and PySpark.
  • Knowledge of Delta Lake, Unity Catalog, and modern lakehouse architectures.
  • Experience building scalable data pipelines and BI tools integration.
  • Experience with REST APIs and third-party data sources.
  • Experience with CI/CD pipelines and Git workflows.

Responsibilities

  • Analyze complex business requirements and design scalable data solutions.
  • Develop SQL transformations and data pipelines in Snowflake and Databricks.
  • Collaborate with frontend engineers to optimize schema for performance.
  • Manage advanced database development including stored procedures and UDFs.
  • Design Snowflake database objects (stored procedures, views, tasks).
  • Build scalable data models to support reporting and analytics.
  • Create monitoring tools to ensure data fidelity and performance.

Skills

SQL
Data modeling
ETL/ELT
Python
CI/CD
Team leadership
Problem solving

Tools

Snowflake
Databricks
PySpark
Tableau
Power BI
AWS
Azure
GCP

Job description

Publicis Groupe seeks a Director, Data Engineering to lead the design, development and ongoing support of a data-driven software platform. The role requires driving multi-project work, partnering with product, analytics and engineering, and delivering scalable data solutions in a fast-paced environment.

You will design and optimize Snowflake/Databricks data pipelines, develop advanced database objects, and ensure data quality and performance across large datasets.

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