Build and deploy enterprise AI solutions that transform fragmented business data into actionable intelligence, guiding customers from technical discovery through production deployment.
Locations (2)
San Francisco, California, United States
United States
Responsibilities
Lead technical pre-sales engagements in partnership with Sales, including discovery sessions, customer workshops, solution architecture, proof-of-concept development, and technical evaluations.
Translate customer business challenges into valuable AI and analytics use cases, demonstrating technical feasibility and business impact.
Own initial post-sales implementation from deal closure through the first production deployment, covering data onboarding, context modeling, validation, user enablement, and structured handover.
Design and build scalable context and semantic models, agentic workflows, and integrations across complex enterprise data environments.
Collaborate with customer data, IT, and security teams to resolve integration, performance, governance, security, and scalability challenges.
Requirements
Bachelor's degree in Engineering, Data, or a related discipline
Master's degree in Engineering, Data, or a related discipline
At Wells Fargo, a Principal Architect advises senior leaders on architecture strategy, target-state direction, and technology transformation efforts, leading the resolution of highly complex, enterprise-wide challenges that span multiple domains and organizations.
Locations (3)
San Francisco, California, United States
Irving, Texas, United States
Charlotte, North Carolina, United States
Compensation
$159,000.00 - $305,000.00
Responsibilities
Advise senior technology leaders on enterprise data architecture strategy, target-state direction, and transformation priorities across Technology and Cybersecurity domains.
Define current-state, target-state, and transition architectures for complex enterprise data environments and modernization initiatives.
As our very first Data Governance Lead, you’ll work shoulder-to-shoulder with our Data Architects and Data Engineers to bring architecture, governance, quality, and lineage together into one seamless ecosystem.
Compensation
An industry benchmarked salary. We’ll share it during your first conversation.
Responsibilities
Define a practical governance roadmap using DAMA-DMBOK and DCAM
Build a quality framework from scratch
Partner with Data Architects to pick and embed governance tooling
Write clear policies for data ownership, access, and retention that align with UK GDPR, the Data Protection Act, and sector rules
Designing and implementing a federated data governance framework within a Data Mesh architecture, balancing domain autonomy with consistent enterprise-wide governance.
Locations (3)
Bulgaria
Poland
Romania
Responsibilities
Designing and implementing a federated data governance framework within a Data Mesh architecture
Leading governance onboarding for new business domains, initially focusing on Logistics and building on existing practices in the EPD and Sustainability domain
Developing reusable governance onboarding blueprints for future domains
Defining enterprise standards and policies covering the full Data Product lifecycle
Defining ownership models, SLAs, metadata requirements, data quality metrics, and governance expectations for Data Products
Lead Solution Architect
Sarah Cannon Research Institute · Posted Nov 11, 2026
Play a pivotal role in driving the database strategy across all products, demanding profound expertise in data architecture to analyze, design, and implement complex systems ensuring robust, scalable solutions.
Responsibilities
Designing, building, and managing the organization's data infrastructure
Creating the blueprint for how data is collected, stored, processed, and used
Designing the structure and systems for effective data management
Creating and maintaining documentation for database architecture, procedures, and standards
Developing and implementing a comprehensive data strategy aligned with business goals
Requirements
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Information Systems
Bachelor’s Degree in Engineering
Nice to have: Modern cloud-native database solutions
Nice to have: Database migration tools and strategies
Architect and lead high‑stakes data engineering projects, building resilient enterprise‑grade big data platforms and cloud data lakehouse architectures.
Locations (5)
Stuttgart, Baden-Wurttemberg, Germany
Cologne, North Rhine-Westphalia, Germany
Berlin, Germany
Lisbon, Lisbon District, Portugal
Barcelona, Catalonia, Spain
Compensation
GOOD WORK SHOULD BE REWARDED, which is why we offer various bonus models at our company
T
Senior Data Design Lead
tal.wd3.myworkdayjobs.com/TAL-current-opportunities · Posted Nov 12, 2026
Senior Data Design Lead shapes enterprise data products, defines and governs data structures across TAL, leading modernisation and governance initiatives.
Lead the architecture and implementation of enterprise Databricks platforms within Microsoft Azure, define target-state Lakehouse, workspace and Unity Catalog architectures, and provide technical direction to data engineering, DevOps, security, networking and governance resources.
Locations (3)
Ottawa, Ontario, Canada
Toronto, Ontario, Canada
Montreal, Quebec, Canada
Responsibilities
Lead the architecture and implementation of enterprise Databricks platforms within Microsoft Azure
Define target-state Lakehouse, workspace and Unity Catalog architectures
Design secure foundations supporting data engineering, Databricks SQL, BI, analytics, AI and machine learning workloads
Establish architectural patterns for Delta Lake, Lakeflow, Databricks SQL and Unity Catalog
Design integration with cloud, enterprise and on-premises data sources
Serve as the senior technical leader for large-scale, multi-solution customer transformation programs, designing and governing enterprise-grade solution architectures across supply chain ecosystems.
Locations (2)
Dallas, Texas, United States
United States
Compensation
The annual salary range for this position is $167,075.96 - $216,924.03
Establish enterprise integration and data strategies
Drive technical excellence across program delivery
Act as a trusted advisor to executive stakeholders
Accelerate innovation through emerging technologies
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, Supply Chain, or related field
Nice to have: Blue Yonder solution architecture (Planning, Execution, Platform, Automation portfolios)
Establish enterprise architecture patterns for data sourcing, integration, storage, processing, distribution, and consumption.
Develop strategies to reduce unnecessary data duplication and enable scalable, governed access to shared enterprise information.
Define architecture patterns for data products, semantic layers, APIs, event-driven and real-time data distribution, batch processing, data virtualization, and federated access.
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