Senior Manager Data Architect

Manager Data Architect

As a Manager Data Engineering (Data Architect), you will be responsible for designing and implementing scalable, high-performance data solutions that enable advanced analytics, machine learning, and business intelligence. You will work closely with cross-functional teams to define data architecture, optimize data pipelines, and ensure data quality and governance.

Your Impact

• Evaluate requirements and current state to design scalable architectures for enterprise data platforms, ensuring high performance, reliability, and cost effectiveness.
• Validate target-state designs with client technical SMEs and secure executive buy-in, translating architecture into roadmaps and business value. 
• Lead efforts to improve data quality, data lineage, and master data management and establish best-practices for data governance, security, and compliance.
• Collaborate with data scientists, business analysts, and engineering teams to deliver data-driven solutions.
• Ensure seamless integration of data across cloud services (AWS, GCP, Azure), SaaS, and on-premise applications, with a variety of structured/unstructured formats.
• Develop data models and modelling standards across conceptual, logical, and physical layers, with metadata and data dictionaries to ensure consistency and accuracy.

• Provide technical leadership and mentorship to client and delivery teams, ensuring best practices and innovation.
• Effectively leverage AI to augment production of quality deliverables.
• Stay updated on emerging trends in AI, and cloud-based data solutions to drive continuous improvement and commercial advantage for our clients.

Skills & Experience

• 12+ years of experience in data engineering, with a focus on data technologies.
• Strong expertise in data architecture, data modeling, and ETL/ELT processes.
• Proficiency in cloud-based data solutions, including AWS, GCP, or Azure.
• Experience with real-time data processing using Kafka, Flink, or similar technologies.
• Strong understanding of data governance, security, and compliance frameworks.
• Knowledge of SQL, NoSQL databases, and data warehousing solutions.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Excellent problem-solving and analytical skills with a strong focus on performance optimization.

Set Yourself Apart With

• Experience with AI/ML data pipelines and model deployment.
• Knowledge of graph databases and data virtualization.
• Strong understanding of data mesh and modern data architecture principles.

• 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.
• 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

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.