Data Engineering Lead: Cloud Data Platforms & AI Pipelines

Publicis Groupe Holdings B.V; Chicago (IL); On-site; USD 112,000 - 161,000; Full time

Benefits offered by this job

Medical coverage

401k

Paid time off

Parental and family care leave

Tuition reimbursement

Flexible time off

Job summary

Publicis Groupe in the US is seeking a data platform engineer to design and support data warehouse and lake solutions on Snowflake and Databricks. You will build end-to-end pipelines, define enterprise models, and collaborate with analytics teams.

The role requires 5+ years in large-scale databases, ETL/ELT, and strong SQL. You’ll work across AWS/Azure, with BI tools like Tableau and Datorama. Competitive compensation and comprehensive benefits.

Qualifications

• BS degree in CS/IT or related field.
• 5+ years of experience developing large scale complex database solutions.
• Demonstrated experience with BI database design.
• Ability to track and resolve database related incidents as well as requests.
• Strong understanding of database structures, theories, principles, and practices.
• Strong understanding of ETL and data warehouse principles.
• Good interpersonal, written and oral communication skills.
• Technical documentation skills.
• Ability to present complex ideas in user-friendly language.
• Self-motivated and directed, with keen attention to detail.
• Able to prioritize and execute tasks in a team-oriented, high-pressure environment.

Responsibilities

• Design and implement scalable data architecture across cloud platforms (e.g., Snowflake, Databricks)
• Define enterprise data models, schemas, and standards to support analytics, reporting, and AI/ML use cases
• Architect end-to-end data pipelines for ingestion, transformation, and delivery of structured and unstructured data
• Oversee development and optimization of ETL/ELT processes using SQL, Python, and Spark
• Drive performance tuning across queries, pipelines, and storage to improve scalability and efficiency
• Establish best practices for database design, indexing, and query optimization
• Define and enforce data governance standards, including data quality, lineage, metadata, and access control
• Ensure data integrity, consistency, and compliance with security and privacy requirements
• Design and support scalable data products and reusable data assets aligned to business and client needs
• Partner with BI teams to enable reporting and dashboarding solutions (e.g., Tableau, Datorama)
• Support AI and advanced analytics initiatives through well-structured, accessible data
• Partner with cross-functional teams to translate business requirements into technical solutions
• Provide architectural guidance and mentorship to data engineers and analysts
• Act as a key stakeholder in resolving complex data challenges and recommending improvements to the data ecosystem
• Establish monitoring and performance standards for data pipelines and platforms
• Ensure reliability of data processes, including handling failures and optimizing long-running jobs
• Define SLAs and operational best practices for data availability and performance
• Tools: Snowflake, Databricks, SQL, Python, Spark (PySpark), Java, SSIS, APIs, Tableau, Power BI, Datorama, AWS, Azure

Skills

SQL

ETL

Data warehousing

Big data

Python

Spark

Education

BS in Computer Science / Information Technology or related field

Tools

Snowflake

Databricks

SSIS

APIs

Tableau

Power BI

Datorama

Job description

Publicis Groupe in the US is seeking a data platform engineer to design and support data warehouse and lake solutions on Snowflake and Databricks. You will build end-to-end pipelines, define enterprise models, and collaborate with analytics teams.

The role requires 5+ years in large-scale databases, ETL/ELT, and strong SQL. You’ll work across AWS/Azure, with BI tools like Tableau and Datorama. Competitive compensation and comprehensive benefits.