**Location:** Hybrid – Central Office and Remote **Contract Type:** Permanent **Professional Challenge** Are you interested in leading the digital transformation of marketing by designing robust and scalable data architectures? If your motivation lies in enabling new capabilities in advanced analytics, automation, and campaign personalization, this position is ideal for your next career step. We are looking to add a passionate individual about data, innovation, and collaborative work in inclusive environments, with strategic vision and attention to technical quality. **Key Responsibilities – Data Architecture in Digital Marketing** ------------------------------------------------------------------------ * Design, implement, and evolve modern data architectures to integrate diverse sources (CRM, analytics, AdTech, MarTech, ecommerce) and enable advanced analytics for marketing teams. * Define data models and structures that support campaigns, attribution, and audience segmentation, ensuring scalability and flexibility. * Lead data governance: quality control, security, interoperability, and integrity throughout the data lifecycle. * Facilitate automation of ETL/ELT processes for preparation, validation, and consolidation of large volumes of data in cloud and on\-premise environments. * Collaborate with BI, data science, and marketing teams to ensure availability of reliable data for reporting, machine learning, and campaign optimization initiatives. * Document architectures, processes, and integration flows, promoting best practices and standardization. ### **Technical and Professional Requirements – Data Architecture and Analytical Marketing** * University degree, technical training, or proven experience in Computer Engineering, Computer Science, Data Science, Statistics, or related fields. * 3\+ years of experience designing data architectures, integrating multiple sources, and managing pipelines in marketing, media, or digital advertising contexts. * Strong knowledge of SQL, data modeling, relational/non-relational databases (BigQuery, Snowflake, SQL Server, MongoDB, etc). * Experience integrating APIs from advertising platforms, web analytics tools, and marketing automation ecosystems. * Proficiency with ETL/ELT orchestration tools and frameworks (Airflow, dbt, Talend, Fivetran, etc) and knowledge of cloud solutions (GCP, AWS, Azure). * Ability to document, communicate, and standardize technical processes. * Intermediate/advanced technical English reading and writing skills. #### **Essential Tasks – Design, Integration, and Optimization for Marketing Analytics** * Analyze marketing team needs and map relevant internal and external data sources. * Design and implement centralized data models to support dashboards, predictive analytics, and automated reporting. * Optimize data ingestion, transformation, and delivery pipelines to reduce latency and support new analytical demands. * Create and maintain essential technical documentation: data dictionaries, architecture diagrams, workflows, and usage guidelines. * Advise and train internal teams on best practices for data usage, management, and governance in digital marketing and advertising. * Collaborate in defining and enforcing security, privacy, and compliance policies for sensitive or personal data. ##### **Profile – Strategic Thinking, Innovation, and Collaboration** * Results-oriented, with analytical ability and systemic vision to solve complex data challenges. * Adaptability to dynamic and multifunctional environments, ability to quickly learn new technologies and methodologies. * Excellent communication, documentation, and teamwork skills to interact with both technical and non-technical profiles. * Commitment to a culture of respect, inclusion, and diversity. ###### **Benefits – Professional Development in Data Marketing, Technology, and Digital Transformation** * Competitive compensation, bonuses, and incentives based on project performance. * Access to specialized training in data engineering, cloud, digital marketing, and cutting-edge tools. * Participation in innovative projects focused on digital transformation and applied marketing analytics. * Flexible working model, inclusive environment, and opportunities for professional growth. * Accelerated career development alongside experts in the fields of data and marketing.