Senior Data Engineer - Cloud & AI Pipelines (Hybrid)

Publicis Sapient; Atlanta (GA); Hybrid; USD 107,000 - 130,000; Full time

Benefits offered by this job

Flexible vacation policy

15 paid holidays

Parental leave and transition program

Tuition reimbursement

Corporate gift matching

Ongoing learning opportunities

Competitive compensation and benefits

Job summary

Publicis Sapient in Chicago (hybrid) seeks a Senior Associate Data Engineer to lead large-scale data solutions. You will design, build, and optimize data pipelines across batch and streaming workloads on cloud platforms, with a focus on AI-enabled data foundations and scalable services.

Collaborate with clients, mentor juniors, and deliver impactful results. You will work with Spark, Delta Lake, and various data tools in a dynamic consulting environment, contributing to data governance and

Qualifications

• End-to-end data pipelines and production-grade data platforms experience.
• Hands-on with at least one leading public cloud data platform (AWS, Azure, or GCP).
• Databricks experience (workloads, notebooks, Delta Lake).
• Strong Python and data engineering tooling experience.
• Experience with SQL/Data Warehouses and NoSQL databases.
• Data pipelines for streaming and batch with modern frameworks.
• Experience with data modeling, lakehouse or data mesh patterns.
• Familiarity with MLOps, CI/CD, testing, and production support.

Responsibilities

• Lead and deliver end-to-end data solutions for scale.
• Translate client requirements into system designs delivering measurable value.
• Architect and deliver large-scale data systems and modernization initiatives.
• Build and optimize batch and streaming pipelines on cloud platforms.
• Support AI-enabled use cases with strong data foundations and retrieval patterns.
• Automate operations, observability, quality, reliability, and telemetry for AI services.
• Provide feasibility assessments and project estimates for designs.
• Mentor and grow junior team members while contributing hands-on.

Skills

End-to-end data pipelines

Public cloud platforms

Databricks

Python programming

SQL/NoSQL databases

ETL/Data integration

MLOps familiarity

Communication

Tools

Databricks

AWS

Azure

GCP

Delta Lake

BigQuery

Redshift

Snowflake

Spark

Glue ETL / Lambda / Dataflow

Job description

Publicis Sapient in Chicago (hybrid) seeks a Senior Associate Data Engineer to lead large-scale data solutions. You will design, build, and optimize data pipelines across batch and streaming workloads on cloud platforms, with a focus on AI-enabled data foundations and scalable services.

Collaborate with clients, mentor juniors, and deliver impactful results. You will work with Spark, Delta Lake, and various data tools in a dynamic consulting environment, contributing to data governance and