Publicis Sapient - Senior Manager - Data Engineering

Job Description :

We are looking for a technically strong, business friendly Data Engineering Leader who can drive initiatives across data lake infrastructure, large-scale data pipelines, and analytics platforms.

This role demands a blend of technical depth, hands-on engineering skills, and leadership capabilities, ideally with experience in financial services - particularly wealth or asset management.

The ideal candidate will have a strong foundation in data architecture and engineering, lead cross-functional technical teams, and translate complex business needs into scalable data solutions.

You will work closely with product owners, architects, and business stakeholders to deliver high-impact outcomes that are both technically robust and business-relevant.

Leadership & Communication :

- Proven ability to lead and mentor cross-functional engineering teams.

- Skilled in engaging with business stakeholders and senior leadership.

- Adept at translating business challenges into actionable technical solutions.

Data Architecture & Engineering :

- Strong expertise in data modeling, ETL/ELT pipelines, and data lake design.

- Proficient in Apache Spark, NoSQL databases, and SQL/Python for data transformation.

- Hands-on experience with AWS or Azure data services (e.g., S3, Glue, Redshift, Databricks, Synapse).

- Experience with data performance optimization, scalability, and cost-efficiency in cloud environments.

Gen AI & Copilot-Style Integration :

- Exposure to integrating LLMs (OpenAI, Azure OpenAI, etc.) into business workflows.

- Familiarity with Copilot-style interfaces, prompt engineering, embeddings, and RAG architectures.

MLOps & AI Agent Frameworks :

- Exposure to LangChain, Semantic Kernel, or similar agentic AI frameworks.

- Experience deploying ML models or AI agents into production

Good-to-Have Skills :

Data Governance & BI :

- Knowledge of data governance, metadata management, and data quality frameworks.

- Familiarity with BI tools such as Power BI or Tableau.

Financial Services Domain Knowledge :

- Experience in wealth management or asset management.

- Understanding of financial data structures, reporting, regulatory, or analytics use cases.