• Responsible for technically leading the Data Visualization discipline, ensuring the construction of scalable, standardized solutions that are driven by business value. • Acts as a bridge between data, technology and business areas, raising the quality, consistency and efficiency of analytical deliveries. • Minimum 4 years proven experience in technical leadership and the development of Data Visualization solutions using BigQuery and Looker. • Define and evolve standards, best practices and frameworks (modeling, metrics, dashboards and governance). • Act as a technical reference, ensuring quality, scalability and reuse. • Structure and maintain standardized semantic layers and metrics. • Ensure consistency, reliability and integrity of the information consumed by the business. • Translate business demands into scalable and sustainable technical solutions. • Collaborate with Product Owners, business areas and other Tech Leads in prioritizing initiatives. • Reduce operational dependencies through a structured analytical self-service. • Conduct technical reviews and raise the team's delivery standards.

• Provide technical leadership for the development of data platform modules (Ingestion, Consumer, Data Engineering, Admin), focusing on impact and scalability • Work on fullstack development, participating in the entire product lifecycle • Design and implement solutions for data governance, quality metrics, and continuous learning • Build and evolve data ingestion, transformation, and delivery pipelines • Implement observability mechanisms: execution logs, performance metrics, per-pipeline Health Scores, and intelligent alerts • Collaborate with UX/UI to ensure a consistent and scalable user experience across catalog, discovery, and access management interfaces • Contribute to maintenance, evolution, and refactoring of existing systems • Define and evolve architecture, patterns, and best practices • Evaluate and support the adoption of new technologies, frameworks, and tools • Ensure alignment between business rules, product, and technical implementation

• You will build high-performance JavaScript libraries that run in the browser. • You will leverage your ability to interpret business requirements and deliver solutions that help our clients effectively monetize their traffic. • You are a reliable code contributor, and can deliver work with little or no guidance. • Design and implement client-side identity systems. • Build and own consent & regulatory enforcement. • You will actively participate in code reviews, documentation, testing, and performance considerations throughout the feature development lifecycle. • Leverage business requirements to drive product outcomes. • Deliver multi-component changes end-to-end. • Run experiments and iterate from metrics. • Contribute to monitoring, runbooks and postmortems. • Apply AI tools to improve development workflows and operational efficiency. • You seek to understand the business purpose behind the tasks at hand, through understanding customer personas and their workflows, as well as understanding company objectives.

• Drive the multi-quarter technical roadmap and design large-scale OpenSearch clusters capable of handling petabytes of data with low-latency indexing and query performance. • Deeply integrate OpenSearch with CDP components (e.g., Apache Iceberg, SDX, and Ozone) to provide a unified search experience across the data lakehouse. • Lead efforts to optimize JVM settings, shard allocation strategies, and query DSL to ensure maximum throughput and stability. • Oversee the development of Kubernetes Operators and Helm charts for automated deployment, scaling, and self-healing of search services. • Define and champion best practices for security (RBAC, TLS), observability, and enterprise-grade reliability. • Mentor senior and junior engineers on complex technical designs and foster a culture of continuous improvement across the organization. • Act as a primary liaison and influencer within the upstream OpenSearch community, aligning their roadmap with product strategy.