Job description

Company description 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 20,000+ 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. Overview 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 organization’s 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. Data Governance, Quality & Stewardship 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. Data Engineering & Platform Architecture 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. Leadership & Strategic Influence Develop multi-year data architecture roadmaps and implementation strategies supporting the organization's 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. Qualifications Required Qualifications Bachelor’s 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. Additional information Level: Senior Manager Salary Range: Depending on experience: $160,000 - 210,000 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 hiring@publicis.sapient.com

Requirements

Requirements not extracted — see the original description below.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileaiazureaws

Platform: jibe
Effort: medium

Benefits

Benefits detected in the listing.

Vision

Wellness