- Define the technical architecture for Tala's semantic layer and shared analytics platform
- Establish consistent, governed definitions for business metrics across markets and teams
- Determine how data and metrics are stored, modeled, accessed, and consumed across BI tools, notebooks, applications, and AI agents
- Balance scalability, reliability, usability, governance, and regulatory requirements in architectural decisions
- Set technical priorities and sequencing for major platform initiatives and ensure completion
- Design and build production data models, pipelines, services, tooling, SDKs, and platform components
- Partner with Analytics Engineering and Data Infrastructure as a senior technical contributor
- Own platform capabilities from concept through production
- Identify and eliminate technical debt and architectural bottlenecks
- Define AI use in analytics workflows and build governance layers for AI agents
- Lead cross-functional initiatives spanning Product, Engineering, Analytics, Finance, and Accounting
- Partner with Finance and Accounting to reconcile business metrics with company books and reporting
- Provide technical mentorship through design reviews, pairing, and hands-on collaboration
- Establish engineering and data architecture standards and improve documentation
Requirements
- Significant experience in data engineering, software engineering, analytics engineering, data platforms, or a related technical field
- Experience designing and building large-scale or shared data platforms and infrastructure
- Strong experience with data architecture, data modeling, pipelines, and production systems
- Track record of making complex architectural decisions and translating them into working systems
- Ability and willingness to write production code and build alongside engineers
- Experience leading technical initiatives across multiple teams without necessarily having direct authority
- Strong problem-solving skills and ability to bring ambiguous or stalled initiatives to completion
- Experience establishing trusted, governed, or standardized business metrics is highly valuable
- Experience with AI/LLM-powered analytics, data workflows, or agents is a strong plus
- Experience working with financial, regulated, or highly sensitive data is a plus
- Excellent communication skills and ability to explain complex technical concepts to technical and non-technical stakeholders
Core Competencies
Demonstrates expertise in data architecture, data modeling, and building large-scale data platforms while ensuring compliance with governance and regulatory standards. Proven ability to lead cross-functional initiatives and mentor teams in technical best practices.
Highest-signal resume keywords
- Data Architecture
- Data Modeling
- Large-Scale Data Platforms
- AI/LLM-Powered Analytics
- Technical Mentorship
Hard Skills
- Data Engineering
- Software Engineering
- Analytics Engineering
- Production Code Development
- Data Pipelines
- Production Systems
- Architectural Decision Making
- Technical Debt Elimination
- Governed Business Metrics
- Data Workflows
Soft Skills
- Problem-Solving
- Communication Skills
- Collaboration
Industry Keywords
- Financial Data
- Regulated Data
- Governance Layers
- Business Metrics
- Cross-Functional Initiatives
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Analytics Platforms Architect Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
