Senior Associate Data Engineer - AI & Data Platforms

Job Description

We re seeking a Senior Data Engineer to design, build, and modernize enterprise-scale data platforms across cloud environments. You will work across data ingestion, lakehouse architectures, orchestration, governance, APIs, and modernization initiatives, helping clients transform fragmented and legacy data ecosystems into scalable, cloud-native platforms.

This role combines hands-on software and data engineering with technical design leadership. Work is hands-on and design-oriented in equal measure, requiring you to contribute directly to implementation while also owning critical technical decisions, architecture designs, and engineering standards. As enterprise platforms increasingly enable intelligent products and services, you will also build data services and platform capabilities that incorporate AI and LLM-based solutions where they provide measurable business value.

Qualifications

Skills & Experience

• 6+ years of experience in Data Engineering, Data Platform Engineering, or related fields with ownership of production systems.
• Advanced Python and SQL development experience in enterprise environments.
• Strong hands-on experience with Spark or PySpark for large-scale distributed data processing.
• Deep expertise in AWS or Azure and practical experience working within a second cloud ecosystem.
• Strong data modeling capabilities including Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD Type 2), Medallion Architecture, and Lakehouse patterns.
• Experience designing and implementing CI/CD pipelines, automated testing, and deployment practices for data platforms and services.
• Strong relational database engineering and schema design experience.
• Experience building production-grade data services, APIs, or backend components.
• Proven experience designing, integrating, or operating AI and LLM-enabled solutions in enterprise environments.
• Proven ability to author, communicate, and defend technical designs with engineering stakeholders.
• Demonstrated ability to balance solution design responsibilities with hands-on implementation and delivery ownership.

Set Yourself Apart With

• Experience building AI-enabled data products using LLM APIs, Retrieval-Augmented Generation (RAG), embeddings, semantic search, or vector databases.
• Experience developing backend services and APIs using FastAPI or similar frameworks.
• Experience working with regulated data domains requiring compliance, privacy, governance, and auditability controls.
• Familiarity with metadata management, cataloging, lineage, and enterprise data governance tooling.
• Experience supporting large-scale cloud modernization and migration initiatives.
• Experience operating and delivering solutions across both AWS and Azure environments.
• Knowledge of MLOps, model evaluation frameworks, and AI observability practices.

Additional Information

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]