Senior Data Architect with AI Enablement, Hospitality Data Platform

Remote.AR
Remote.Colombia
Rosario
Монтевидео
Монтерей

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Project overview

The platform is designed to be operationally resilient while enabling advanced analytics and AI driven use cases. AI adoption is a core principle of the project, both in the platform itself and in day to day delivery practices.

Team

You will work as part of a distributed delivery team that includes data engineers, analytics specialists, product owners, and technical leads. The team collaborates closely through design reviews, shared standards, and regular interaction with business stakeholders. The role involves direct engagement with client representatives and coordination across time zones.

Position overview

We are looking for a Senior Data Architect to lead data architecture activities on a large scale hospitality data platform. You will design and evolve a data foundation that supports high volume transactional systems and advanced analytics, with a strong emphasis on enabling AI and machine learning use cases. This role combines hands on architectural ownership with close collaboration across engineering, analytics, and business stakeholders in a distributed delivery setup.

Technology stack

Cloud platforms AWS, GCP, Azure, data lakes and lakehouse architectures, Spark, dbt, Airflow, SQL, streaming platforms such as Kafka or equivalent, REST APIs, CDC tools, vector databases, feature stores, data catalogs, data quality frameworks, CI CD tooling, AI assisted development tools

Responsibilities

Design and own the end to end enterprise data architecture for the hospitality data platform
Define data models, storage strategies, integration patterns, and platform topology aligned with operational and analytical needs
Architect and oversee data lake and lakehouse implementations including zone structures, retention policies, partitioning strategies, and access patterns
Design and govern end to end data pipelines covering ingestion, transformation, and delivery across batch, micro batch, and streaming use cases
Define integration architectures across internal systems and third party hospitality platforms using ETL, ELT, streaming, CDC, and API based approaches
Design data infrastructure that enables AI and machine learning workloads including feature stores, training datasets, inference pipelines, and feedback loops
Actively use AI tools in daily work for architecture design, documentation, code generation, testing, and pipeline development
Promote AI adoption across the data engineering team and embed AI driven accelerators into delivery processes
Define and enforce data governance standards including lineage, cataloging, access control, data quality, and PII handling
Evaluate and recommend cloud platform services across AWS, GCP, and Azure based on client constraints and maturity
Participate in architectural reviews, technical workshops, and stakeholder presentations
Communicate architectural decisions, progress, and risks clearly to technical and non technical audiences in English and Spanish
Provide technical guidance and mentorship to data engineers on the project

Requirements

5+ years of experience in data engineering or data architecture roles, including time in a senior or lead capacity
Hands on experience designing and operating production data lake or lakehouse architectures
Strong experience building and governing production grade data pipelines across batch, micro batch, and streaming patterns
Experience designing enterprise scale data integration architectures across heterogeneous systems
Hands on experience with at least two major cloud platforms among AWS, GCP, and Azure
Strong proficiency in data modeling and architectural validation techniques
Working knowledge of dimensional modeling, Data Vault, or normalized relational modeling
Experience with data governance practices including cataloging, lineage, access control, and data quality frameworks
Demonstrated active use of AI tools in daily delivery such as LLM based coding assistants and AI driven documentation
A strong AI oriented mindset with ongoing engagement in modern AI tooling and practices
Professional proficiency in English and Spanish, written and verbal
Availability for occasional travel to Cancun, Mexico for on site collaboration

Nice to have

Experience in travel, hospitality, or lodging data environments such as PMS, GDS, OTA integrations, booking engines, or loyalty platforms
Experience designing data architectures for AI and machine learning use cases including feature engineering pipelines, vector databases, or RAG systems
Familiarity with MLOps or LLMOps practices
Experience with real time or event driven data architectures
Exposure to data mesh or federated data ownership models
Knowledge of data privacy regulations relevant to Latin American markets

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