Data Engineering Lead: Cloud Data Platforms & Pipelines

Publicis Health Media; New York (NY); On-site; USD 112,000 - 161,000; Full time

Benefits offered by this job

Medical coverage

Dental and vision

401k

Paid time off

Parental leave

Job summary

Publicis Health Media in New York is hiring a data architect responsible for developing and supporting data products and warehouse solutions on Snowflake and Databricks. You will design enterprise models, build end-to-end pipelines, and enforce governance while collaborating with BI teams.

The role requires 5+ years in large-scale data environments, strong SQL/Python/Spark skills, and experience with BI tools like Tableau, Power BI, and Datorama.

Qualifications

• BS degree in CS/IT or related field preferred.
• 5+ years of experience in large-scale database solutions.
• Experience with BI database design.
• Ability to track and resolve incidents and requests.

Responsibilities

• Design scalable data architectures across cloud platforms.
• Define enterprise data models, schemas, and standards for analytics and AI/ML.
• Architect end-to-end data pipelines for ingestion, transformation, and delivery.
• Oversee ETL/ELT processes using SQL, Python, and Spark.
• Partner with BI teams to enable dashboards (Tableau, Power BI, Datorama).
• Provide architectural guidance and mentorship to engineers and analysts.
• Establish data governance, quality, lineage, and access controls.

Skills

SQL

ETL

Data warehouse

Data modeling

Python

Spark

Java

APIs

REST APIs

Tableau/BI tools

Education

BS Degree in Computer Science/Information Technology

Tools

Snowflake

Databricks

SSIS

Tableau

Power BI

Datorama

Azure

AWS

Job description

Publicis Health Media in New York is hiring a data architect responsible for developing and supporting data products and warehouse solutions on Snowflake and Databricks. You will design enterprise models, build end-to-end pipelines, and enforce governance while collaborating with BI teams.

The role requires 5+ years in large-scale data environments, strong SQL/Python/Spark skills, and experience with BI tools like Tableau, Power BI, and Datorama.