Senior Manager, Data Architecture & Engineering

Publicis Sapient is a digital transformation partner helping established organizations get to their future digitally enabled state both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods fusing strategy consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next our 20000 people in 53 offices around the world combine experience across technology data sciences consulting and customer obsession to accelerate our clients businesses through designing the products and services their customers truly value.

Data is a strategic asset that powers trading risk management finance operations reporting analytics and emerging AI capabilities. As Publicis Sapient continues to modernize its data ecosystem we are investing in scalable cloud-native platforms modern data products and architecture capabilities that make data trusted accessible and business-ready.

As a Senior Manager Enterprise Data Architecture & Engineering you will define the future state of the data landscape guide Lakehouse and cloud platform strategy and establish architecture standards that support scalable analytics business intelligence operational reporting and data-driven innovation.

Working with business leaders architects engineers and technology stakeholders you will influence enterprise data initiatives shape decisions across complex domains and create a durable foundation for long-term growth.

Key Responsibilities:

Enterprise Data Architecture & Strategy

• Lead enterprise data architecture strategy across platforms integrations analytics reporting and data products.
• Develop current- and future-state roadmaps aligned to business priorities and long-term technology goals.
• Establish architecture principles standards reusable patterns and governance practices that improve consistency and scalability.
• Provide architecture leadership for modernization cloud transformation and enterprise data platform initiatives.

Lakehouse & Modern Cloud Data Platforms

• Define scalable Lakehouse and cloud data platform architectures using modern cloud-native technologies.
• Guide architecture decisions across ingestion storage processing security governance and data consumption.
• Partner with engineering teams to create reference architectures design standards and implementation frameworks.
• Evaluate emerging technologies and recommend practical modernization opportunities.

Trading Market & Enterprise Data Integration

• Architect data solutions supporting energy trading commodity trading market operations risk settlements scheduling and financial reporting.
• Design integration architectures connecting trading platforms ERP systems operational technologies analytics platforms and external data providers.
• Establish integration patterns for batch micro-batch event-driven and near-real-time data movement.
• Ensure data architectures support consistency traceability quality and business agility across interconnected platforms.

Data Modeling & Data Products

• Lead conceptual logical and physical data modeling across key business domains.
• Define domain-driven architecture approaches that support scalable data products and reusable business capabilities.
• Establish standards for master reference transactional operational and analytical data structures.
• Partner with business product and engineering teams to design governed reusable business-aligned data products.

Data Governance Quality & Stewardship

• Define architecture standards for metadata lineage data quality governance security and regulatory compliance.
• Partner with governance and business stakeholders to clarify stewardship ownership and accountability models.
• Drive adoption of cataloging lineage observability and quality monitoring capabilities.
• Promote practices that improve data transparency reliability consistency and trust across the enterprise.

Data Engineering & Platform Architecture

• Define data engineering standards for batch micro-batch streaming and event-driven integration solutions.
• Guide teams on scalable pipeline architectures platform design patterns and optimization strategies.
• Review solution designs involving ETL/ELT frameworks cloud-native services streaming integrations and enterprise data platforms.
• Ensure engineering standards support reliability observability security maintainability and operational support.

Leadership & Strategic Influence

• Develop multi-year data architecture roadmaps that advance the organizations evolving data vision.
• Lead architecture workshops design reviews governance forums and stakeholder alignment sessions.
• Mentor architects engineers and technical leaders while building architecture maturity.
• Influence enterprise technology decisions and communicate strategy investment recommendations and modernization plans to senior stakeholders.
• Serve as a trusted advisor on enterprise data strategy platform modernization and information architecture.

• Define architecture standards supporting metadata management lineage data quality governance security and regulatory compliance requirements.
• Partner with governance organizations and business stakeholders to establish enterprise stewardship and accountability models.
• Drive adoption of data cataloging lineage management observability and quality monitoring capabilities.
• Ensure architecture decisions support enterprise governance objectives while enabling scalability and business agility.
• Champion practices that improve data transparency reliability consistency and compliance across the enterprise.

• Define architecture standards for batch micro-batch streaming and event-driven data integration solutions.
• Guide engineering teams on scalable pipeline architectures platform design patterns and optimization strategies.
• Review and approve solution designs involving ETL/ELT frameworks cloud-native services streaming integrations and enterprise data platforms.
• Establish engineering standards supporting reliability observability security maintainability and operational support.
• Partner with engineering leadership to ensure architectural designs are effectively implemented across delivery teams.

• Develop multi-year data architecture roadmaps and implementation strategies supporting the organizations evolving data vision.
• Lead architecture workshops design reviews governance forums and stakeholder alignment sessions.
• Mentor architects engineers and technical leaders while helping build organizational architecture maturity.
• Influence enterprise technology decisions and provide thought leadership across business and technology functions.
• Communicate architecture strategies investment recommendations and modernization plans to senior technology and business stakeholders.
• Serve as a trusted advisor on enterprise data strategy platform modernization and information architecture initiatives.

Required Qualifications

• Bachelors degree in Computer Science Information Systems Engineering or a related technical discipline.
• 12 years of experience in data architecture data engineering enterprise data platforms or related technical leadership roles.
• Experience defining and implementing enterprise-scale data architecture strategies across complex business environments.
• Strong background in cloud-native data platforms enterprise integration data modeling governance and modern data ecosystem design.
• Demonstrated ability to influence senior stakeholders lead enterprise technology initiatives and communicate clearly across business and technical audiences.

Preferred Qualifications

• Experience in Energy Oil & Gas Utilities Commodity Trading Capital Markets or other data-intensive industries.
• Expertise in Data Product Data Mesh and domain-driven architecture concepts.
• Experience with modern cloud data platforms such as Databricks Azure Data Platform Services AWS Data Services or Snowflake.
• Familiarity with real-time event-driven and streaming architecture patterns.
• Experience establishing architecture governance reference architectures design standards or cloud modernization practices.
• Architecture certifications in major cloud platforms or Databricks preferred.

Level: Senior Manager

Salary Range: Depending on experience: $160000 - 210000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ depending on location and specific skillset required for the work itself.

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.

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