Data and Architecture Lead

Your tasks

POSITION MISSION

• Manage the execution of the data and architecture roadmap defined by the Company.
• Coordinate platforms, integrations, governance, quality, and information availability to enable company decisions, products, and experiences.
• Implement data principles, standards, and priorities defined by Corporate Management.
• Manage architecture and data initiatives with defined scope and short-term results.
• Coordinate a small team of specialists and lead cross-functionally with data owners and technical referents.
• Escalate structural decisions, security exceptions, relevant investments, and critical risks.

MAIN RESPONSIBILITIES

• Translate approved priorities into a data roadmap with deliverables, owners, dependencies, and indicators.
• Design integration, processing, and availability solutions within the defined principles.
• Prepare technological evaluations and build, buy, or integration recommendations.
• Ensure each initiative responds to concrete use cases and business results.
• Implement roles, standards, agreements, and coordination mechanisms for data governance.
• Coordinate ownership by domain and criteria for quality, availability, and traceability.
• Drive catalog, lineage, observability, and incident management.
• Work with operations to improve capture and quality at the source.

POSITION DESCRIPTION

• Coordinate identity and data capabilities necessary for consistent experiences.
• Enable data products and reusable metrics for product, marketing, analytics, and operations.
• Ensure reliability and proper governance of data used for segmentation and models.
• Coordinate platforms, pipelines, integrations, and APIs with the responsible technical teams.
• Incorporate security, privacy, consent, retention, and auditability by design.
• Monitor service levels for availability, quality, and costs.
• Manage technology providers and communicate risks and alternatives.

Requirements

PROFESSIONAL PROFILE

• University degree in Systems, Engineering, Data Science, or related fields. Certifications or training in architecture, cloud, governance, security, or data management are valued.
• Approximately 4 to 6 years of experience in architecture, engineering, or data platforms, with experience coordinating specialists or complex modernization, integration, and governance initiatives.

KNOWLEDGE

• Cloud data platforms, lakehouse or warehouse, integration, APIs, pipelines, and data products.
• Data governance, quality, catalog, lineage, observability, and ownership by domains.
• Roadmaps, investment evaluation, vendor management, and adoption metrics.
• Cross-functional influence, technical judgment, executive communication, and business orientation.

-Requirements-

• Minimum education: University
• 5 years of experience
• Languages: English
• Age: between 30 and 45 years
• Knowledge: Analysis of indicators, Big data, Data science, Cloud, Indicators, Metrology, Statistical science, Certification in data technologies, Enterprise data science, Statistical data science, Information technology design, Information technology engineering, Strategic information technology leadership, Data manipulation, Data security, Business data analysis, Statistical data analysis
• Keywords: jefe, gerente, manager, director, chief, lead, jefatura, regente, data, architect, arquitecto, architecture, arquitectura

What we offer

We offer an excellent work environment – Employment Relationship – Corporate Benefits Modality – 100% On-site. </body>