Data Architect

Project description

We are looking for a Data Architect to design and drive the implementation of a new Data Platform. You will define the target architecture, guide incremental delivery, and ensure the platform meets stringent requirements for scale, latency, and compliance.

• Define the end-to-end data architecture for a modern Data Platform that supports data unification, governance, analytics, and activation use cases.
• Translate business requirements into target state architecture, reference models, and architectural decision records (ADRs).
• Design scalable patterns for data ingestion, storage, modeling, processing, and serving, ensuring performance, resilience, and maintainability.
• Drive an incremental delivery approach: prioritize high-value capabilities, deliver thin end-to-end slices, and scale based on feedback and measured outcomes.
• Work closely with engineering, security, privacy, and product stakeholders to align architecture with enterprise standards and compliance requirements.
• Define observability standards for pipelines and data services (monitoring, alerting, logging, dashboards) and contribute to incident prevention and root cause analysis.
• Establish non-functional requirements and operational processes for reliable production operations (release strategy, rollback plans, runbooks).
• Lead integration of data from multiple enterprise systems using a combination of batch and event-driven ingestion approaches.
• Set up data quality controls (validation rules, anomaly detection, reconciliation, and monitoring) and ensure quality gates for new sources and transformations.
• Establish governance practices, including metadata management, lineage, retention policies, access control patterns, and auditability.
• Design and govern data access patterns for downstream consumers: curated datasets, semantic layers, and API-based access where required.
• Ensure data products are well documented, versioned, and discoverable, with clear SLAs and operational ownership.
• Partner with application teams to enable integration into business workflows and customer-facing experiences.

• 7+ years in Data Architecture/Enterprise Data Platforms.
• Strong knowledge of event-driven and batch ingestion patterns, data modeling, and history patterns.
• Strong knowledge of Real-time/low-latency architecture concepts and SLAs.
• Strong knowledge of governance (metadata, lineage, audit, access controls).
• Demonstrated ability to design for hundreds of millions of records, multi-market complexity, and operational resilience.
• Experience with Azure.
• Experience with Snowflake serving curated datasets and analytics workloads.
• Experience with Databricks/Spark for heavy processing and advanced matching/ML where needed.
• Experience with Data lake formats and layering (bronze/silver/gold).
• Familiarity with streaming/event ingestion patterns and near-real-time propagation.
• Strong communication skills to be able to align product, engineering, security, and stakeholders around architecture and trade-offs.
• Native Spanish.
• English B2.

• Placeholder for additional desired skills.