10+ years of experience in Data Engineering and Data Platform implementation.
3+ years of experience leading Data Engineering teams or programs.
Hands-on expertise with Databricks, Apache Spark/PySpark, Delta Lake, Unity Catalog, SQL, and Python.
Experience with Azure, AWS, or GCP cloud platforms.
Strong understanding of enterprise data governance, metadata management, data lineage, and data quality frameworks.
Experience implementing CI/CD, Infrastructure as Code, and DevOps practices.
Strong stakeholder management and communication skills.
Responsibilities
Lead the design and implementation of enterprise data platforms using Databricks and cloud-native technologies.
Define data engineering standards, architecture patterns, and best practices.
Architect and develop batch, streaming, and real-time data pipelines.
Oversee data integration across ERP, trading, operational, and third-party systems.
Implement governance controls using Unity Catalog and metadata management capabilities.
Lead and mentor a team of Data Engineers.
Foster a culture of continuous improvement and engineering excellence.
Benefits
An inclusive workplace that promotes diversity and collaboration.
Access to ongoing learning and development opportunities.
Flexibility to support work-life balance.
Comprehensive health benefits for you and your family.
Generous paid leave and holidays.
Wellness program and employee assistance.
Full Job Description
Overview
We are seeking an experienced, hands-on Senior Architect/Data Engineering to drive the design, development, and governance of enterprise-scale data platforms built onDatabricks Lakehouse architecture. This role combines deep technical expertise with team leadership, solution architecture, stakeholder management, and data governance responsibilities. The ideal candidate will lead teams delivering scalable, secure, and governed data products while establishing engineering standards, best practices, and operating models across the organization.
Your Impact:
Technical Leadership
Lead the design and implementation of enterprise data platforms using Databricks, Spark, and cloud-native technologies.
Define data engineering standards, architecture patterns, and best practices.
Review solution designs and provide technical guidance to engineering teams.
Drive adoption of Lakehouse architecture, Delta Lake, and modern data engineering practices.
Lead performance optimization, scalability, reliability, and cost-management initiatives.
Data Engineering Delivery
Architect and develop batch, streaming, and real-time data pipelines.
Build and support data products serving analytics, reporting, AI/ML, and business applications.
Oversee data integration across ERP, trading, operational, and third-party systems.
Establish reusable frameworks, accelerators, and reference architectures.
Ensure robust monitoring, observability, and operational excellence.
Implement governance controls using Unity Catalog, metadata management, and data lineage capabilities.
Drive data cataloging, classification, access management, and auditability requirements.
Team Leadership
Lead and mentor a team of Data Engineers.
Conduct design reviews, code reviews, and technical coaching sessions.
Work closely with Product Owners, Architects, Business Analysts, and Data Scientists to align delivery with business objectives.
Support resource planning, estimation, and delivery governance.
Foster a culture of continuous improvement, innovation, and engineering excellence.
Qualifications
Your Skills & Experience
10+ years of experience in Data Engineering and Data Platform implementation.
3+ years of experience leading Data Engineering teams or programs.
Strong hands-on expertise with:
Databricks
Apache Spark /PySpark
Delta Lake
Unity Catalog
SQL
Python
Experience with Azure, AWS, or GCP cloud platforms.
Strong understanding of enterprise data governance, metadata management, data lineage, and data quality frameworks.
Experience implementing CI/CD, Infrastructure as Code, and DevOps practices.
Strong stakeholder management and communication skills.
Preferred Qualifications
Experience with Azure Data Factory, Kafka, Event Hubs, Airflow, or similar integration technologies.
Experience with Collibra, Purview, Alation, or other governance platforms.
Familiarity with Data Mesh, Domain-Oriented Architecture, and Federated Governance models.
Databricks Professional Data Engineer Certification.
Experience delivering large-scale enterprise transformation or modernization programs.
Leadership Expectations
Own the end-to-end delivery of strategic data initiatives.
Influence architecture and technology decisions across multiple teams.
Bridge business strategy with data platform capabilities.
Establish governance frameworks that improve data trust, discoverability, and compliance.
Drive adoption of engineering best practices, automation, and platform reuse.
Nice-to-Have Experience
Trading and Risk Management systems (Endur/ETRM)
Enterprise Data Platforms and Lakehouse implementations
Data reconciliation and controls automation
Master Data Management (MDM)
AI/ML enablement and feature engineering platforms
Terraform, Azure DevOps, GitHub Actions, Power BI
Additional information
Salary Range: $166,000 - $220,000
The range shown represents a grouping of ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.
Benefits of Working Here
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.
About Saatchi & Saatchi
Saatchi & Saatchi is a global advertising agency headquartered in New York City. The company was founded in London in 1970 by brothers Maurice and Charles Saatchi and is now part of the Publicis Groupe, a French multinational advertising and public relations company. Saatchi & Saatchi has over 6,000 employees in 114 countries and provides a range of advertising and marketing services to clients in various industries, including automotive, consumer goods, financial services, and telecommunications. The company is known for its creative and innovative advertising campaigns, including the iconic 'Nothing is Impossible' campaign for Toyota. Saatchi & Saatchi has won numerous awards for its work, including Cannes Lions, Clios, and Effies.
