Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic's Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic's Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, Dev Ops, managed services, security and compliance, and customer experience transformation. We are a fully remote global company with employees in Canada, the United States and Latin America.

Come talk to us to learn more about what it means to be a Caylien!

We are seeking a Principal Data Architect to serve as the senior technical authority across our most complex and strategic data engagements. This role goes beyond architecture delivery: you will shape how Caylent designs and evolves modern data platfo
10+ years in data architecture, data engineering, or closely related technical disciplines

~5+ years delivering cloud-based data solutions at enterprise scale

~ Proven experience in a consulting or professional services environment, including embedded delivery inside a client or prime contractor program

~ 3+ years of hands‐on Oracle APEX and Oracle REST Data Services (ORDS) delivery, including at least one production migration or upgrade of a multi‐application APEX estate

End-to-end design of modern cloud-native data platforms , including lakehouse architectures (Delta Lake, Apache Iceberg, Apache Hudi), data mesh, and medallion patterns
Database migration and modernization: legacy-to-cloud migrations, heterogeneous database migration strategies, schema and workload refactoring, and modernization to cloud-native data platforms

Oracle APEX and ORDS migration and architecture: APEX application and workspace architecture, export/import and deployment across environments, version upgrades,



ORDS deployment and configuration models (including Apache Tomcat hosting), and preserving existing application behavior when relocating an APEX estate to AWS

Oracle Database (19c Enterprise Edition) depth: PL/SQL, schema design, performance tuning, database links, scheduled jobs, and awareness of licensed Enterprise Edition options that affect target configuration
APEX dependency and plugin assessment: mapping database links, scheduled jobs, OS-level scripts, integrations, and identity dependencies, and assessing third‐party APEX plugin compatibility on the target platform
Cutover planning and resilience: migration sequencing across dev, test/UAT, and production, downtime-window management, rollback design, HA/DR patterns, and validation of application behavior after failover and recovery testing
Hybrid integration: dependency and connectivity analysis where upstream and dependent systems remain on‐premises or outside AWS, including latency and database link considerations

Workload separation and compliance‐aware design: logical separation of regulated (for example SOX‐adjacent) and non‐regulated workloads in architecture and configuration guidance

Structured data: dimensional modeling, data warehouse design, OLTP/OLAP patterns, schema evolution
Unstructured and semi‐structured data: object storage design, metadata management, document and vector store patterns, and data cataloging strategies
Real‐time and event‐driven architectures: streaming ingestion and processing (Apache Kafka, Amazon Kinesis, Apache Flink)

Data serving and access layers: query federation, semantic modeling, and API‐based data access patterns

AWS Expertise

Deep, hands‐on knowledge of the AWS data and analytics ecosystem:



Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, AWS Lake Formation, Amazon Kinesis, AWS DMS, Amazon RDS/Aurora, Amazon Open Search, and Amazon Bedrock
Hands‐on experience hosting Oracle workloads on AWS (Amazon RDS for Oracle, Amazon EC2, container‐based ORDS), and working alongside AWS DMS‐based database migrations owned by another team
Infrastructure‐as‐code practices (Terraform, AWS CDK) applied to data platform delivery, including CI/CD integration for APEX and ORDS deployment

AWS security, networking, and Fin Ops principles as applied to data environments, including VPC design, load balancing, IAM, encryption, and identity integration (SSO) for APEX applications

Executive‐level communication and stakeholder management skills
Advanced English (minimum C1).
AWS certifications (Solutions Architect Professional, Data Analytics Specialty, Database Specialty, or equivalent) and Oracle certifications (APEX, OCP)
Experience with platforms such as Databricks, Snowflake, or dbt in enterprise settings, including data warehouse migrations adjacent to APEX estates
Experience migrating from on‐premises data centers to AWS under constrained‐access models (VDI, restricted data center permissions)
Experience contributing to or building a data architecture practice within a consulting organization
Generous holidays and adaptable PTO

Equipment & Office Stipend

If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
NOTE: This position requires current legal authorization to work in the country where this position is located. Caylent is not able to sponsor visa or work permit applications at this time.

If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.

📌 Data Engineer (Python) - Remote (Ciudad de México)
🏢 Caylent
📍 Ciudad de México