- Lead and drive client working sessions focused on data architecture and data mapping, bringing clarity and direction to complex discussions with senior stakeholders. - Design and own end-to-end Databricks Lakehouse architecture for marketing data ingestion, transformation, storage, and consumption—leveraging Unity Catalog, Delta Lake, Delta Live Tables, and Databricks SQL Warehouse. - Design integrations between Databricks and martech platforms (Braze, Segment, CDPs) to enable customer 360 views, churn prediction, media mix modeling, dynamic pricing, and lifetime value analysis. - Design and implement robust data models—including medallion architecture, Star Schema, and Data Vault—optimized for marketing analytics workloads. - Enable marketers to query data conversationally and generate actionable insights without SQL through Databricks Genie and AI-powered analytics. - Support the design and implementation of AI agents using Agent Bricks and the Mosaic AI Agent Framework. - Review and interpret technical capability maps and frameworks, connecting them to data architecture and design decisions. - Architect data governance, security, and access control policies using Unity Catalog, including lineage tracking, audit logging, PII masking, and marketing data privacy compliance. - Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps; implement infrastructure-as-code and automated deployment for notebooks, jobs, and clusters. - Partner with clients on roadmaps, POCs, and migrations; support pre-sales efforts with technical proposals, whiteboarding sessions, and project estimation. - Manage your time to meet billable targets of 36+ hours per week. - Travel up to 20% for client meetings, workshops, and onsite engagements.

• Design, develop, and maintain cloud-native Python services and microservices. • Develop and maintain CI/CD pipelines to support automated deployments. • Collaborate with the team on data modeling and backend service design. • Write clean, maintainable, testable, and well-documented Python code. • Participate in code reviews and enforce best practices to ensure high code quality. • Troubleshoot and resolve issues efficiently in production and development environments. • Quickly learn new technologies and switch between tech stacks as needed. • Stay up-to-date with industry best practices and emerging technologies.

• Architect low-latency Python services supporting core search • Optimize indexing and ranking pipelines • Improve query response times at scale • Design concurrency strategies for performance-critical systems • Influence system-level architectural decisions • Mentor senior engineers and elevate technical standards • Bridge ML-driven ranking systems with production-grade infrastructure

• Intégrate a la Tribu ¡ • Somos los coding wizards, un equipo de expertos en tecnología apasionados por lo que hacemos. • Creemos en la diversidad y la inclusión, y nos esforzamos por cultivar un ambiente de trabajo positivo y colaborativo. • Nos apasiona la innovación y siempre estamos buscando nuevas maneras de mejorar nuestras habilidades y conocimientos. • Trabajar en Mobiik significa estar desafiado y aprender constantemente, mientras se desarrolla un equilibrio saludable entre trabajo y vida personal. • Buscamos integrar a : • En Mobiik, valoramos su tiempo y nos esforzamos por añadir valor a cada interacción. Si estás interesado en unirte a nuestro equipo de coding wizards, no dudes en ponerte en contacto con nosotros. • ¡Estamos deseando conocerte y trabajar juntos para crear algo grande!