• End-to-End Architecture & Delivery: Define, design, and implement complex data infrastructure, pipeline ingestion, and transformation layers spanning multiple business units (Esports, Festivals, Commerce, HR, Finance, and FACEIT); • Pipeline & Platform Engineering: Construct scalable architectures using well-architected framework principles (reliability, security, performance, and automation). Manage workflow orchestration, CI/CD pipelines, and infrastructure automation; • Data Modeling & Semantic Layers: Standardise enterprise-grade dimensional modeling (Kimball/Inmon), star schemas, and centralised semantic layers to define trusted, cross-pillar metrics; • AI-Ready Datasets: Create clean, optimised, AI-ready datasets with structured metadata, clear naming conventions, and explicit documentation to support downstream AI agents and cognitive models; • Technical Standards & Governance: Establish and enforce best practices for Python/SQL development, dbt optimisation, testing frameworks, and version control across the hybrid data domain; • Efficiency & Cost Optimisation: Proactively monitor and optimise performance and infrastructure platform costs across storage, compute, and querying layout (e.g., BigQuery configurations); • Stakeholder Partnership: Act as a strategic partner to business leaders and analysts, translating complex objectives into scalable self-service data products; • Incident Response & Data Integrity: Lead incident response efforts for both system downtime and data quality anomalies, implementing automated testing to ensure Industry Standard Data Integrity; • Mentorship & Growth: Mentor junior and mid-level engineers through rigorous code reviews and technical guidance, supporting their professional growth and advancing team standards.

Your role at DynatraceAbout the Role: Dynatrace is seeking a high-impact Telemetry Pipeline Specialist to serve as the business and technical evangelist for the next generation of data-driven Observability. This is a specialist role focused on the intersection of Bindplane, OpenTelemetry (OTel), and Enterprise Data Governance. You will partner with our Global Sales and Customer Success teams to help organizations navigate the complexities of data explosion in hybrid and AI-native environments, ensuring they achieve high-signal observability while maintaining absolute control over their telemetry costs and routing. Domain Expertise & Solution Leadership - Act as a subject matter expert in log management and observability - Stay current with OpenTelemetry, cloud logging, and pipelines - Lead proof of concepts and demonstrate technical value Competitive Strategy & Value Selling - Execute competitive displacement strategies - Build ROI and economic value cases - Position Dynatrace effectively in enterprise environments Technical Solution Guidance - Advise on telemetry pipelines (OpenTelemetry, Fluentd, Logstash) - Support Kubernetes, serverless, and cloud ecosystems - Optimize data routing and analytics strategies Customer Adoption & Growth - Drive platform adoption and usage - Deliver best practices and technical workshops - Improve consumption and customer outcomes Collaboration & Pipeline Development - Build pipeline through channels, events, and outbound - Collaborate cross-functionally with sales, engineering, and marketing - Maintain CRM accuracy and forecasting discipline What will help you succeedQualifications & Requirements: - Experience: 5+ years in sales or presales roles, with at least 3 years focused on log management, telemetry pipelines, or data streaming environments Domain Expertise: - Deep understanding of telemetry routing and edge processing (Bindplane, Fluent Bit, or similar) - Familiarity with cloud-native ecosystems (AWS, Azure, GCP, Kubernetes) and event streaming platforms (Kafka, Kinesis, Pub/Sub) - Sales Execution: Experience supporting complex enterprise sales cycles and influencing both technical and executive stakeholders; Ability to articulate “Data Gravity” and - “Ingest Economics” and translate them into executive-level value (CIO/CFO) - Competitive Knowledge: Familiarity with observability and pipeline competitors such as Splunk, Datadog, Elastic, or Cribl - Enablement: Ability to scale impact through field enablement, play development, and technical evangelism - Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Preferred Skills - Experience with Cribl LogStream or Splunk Heavy Forwarders for displacement strategies. - Familiarity with FinOps principles (matching telemetry spend to business value). Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically. - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and Rewards

Role Description Na ROIT, acreditamos que dados são um dos principais ativos para transformar negócios. Estamos construindo uma plataforma de dados moderna, escalável e preparada para suportar produtos analíticos, inteligência Artificial e soluções que impactam milhares de empresas. Buscamos um(a) Tech Lead | Data Platform para liderar tecnicamente essa evolução. Essa pessoa será responsável por: - Definir a arquitetura da plataforma; - Estabelecer padrões de engenharia; - Apoiar o crescimento técnico da equipe; - Garantir que nossas soluções sejam escaláveis, confiáveis, eficientes e preparadas para os desafios do futuro. Procuramos alguém com perfil hands-on, que goste de resolver problemas complexos, tomar decisões arquiteturais e construir produtos de dados de alta qualidade. Qualifications - Experiência sólida em Engenharia de Dados, atuando como Tech Lead ou referência técnica de equipes; - Domínio de Python para desenvolvimento de aplicações e pipelines de dados; - Experiência prática com Google Cloud Platform (GCP); - Conhecimento sólido em BigQuery, Cloud Storage, Pub/Sub, Cloud Run e Dataproc; - Experiência com arquitetura de Data Lake, Data Warehouse e Data Marts; - Conhecimento avançado em bancos de dados SQL e NoSQL; - Experiência com arquiteturas distribuídas, microsserviços e arquiteturas orientadas a eventos; - Vivência com CI/CD, Git e Infraestrutura como Código (Terraform ou similar); - Experiência com monitoramento, observabilidade e troubleshooting de pipelines de dados; - Capacidade de conduzir discussões técnicas, definir padrões de engenharia e apoiar a evolução técnica da equipe. Requirements - Experiência com Apache Spark (PySpark); - Experiência com Apache Airflow ou orquestradores de workflows; - Vivência com processamento de dados em tempo real (streaming); - Experiência em ambientes de alta volumetria de dados; - Conhecimento em arquiteturas Lakehouse; - Experiência com plataformas de Inteligência Artificial e Machine Learning; - Vivência com otimização de custos em ambientes cloud (FinOps). Benefits - Python - Google Cloud Platform (GCP) - BigQuery - Dataproc (PySpark) - Cloud Run - Pub/Sub - Cloud Storage - GitHub / Bitbucket - Arquiteturas orientadas a eventos

• Research new reasoning algorithms and models • Develop model benchmarking processes and tools • Build effective and efficient ML data pipelines • Adjust frameworks and interfaces to accelerate machine learning development • Develop the infrastructure for data augmentation pipelines and synthetic data generation • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution