Principal Data Architect

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, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.

We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

About the Job

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

Experience

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

Proven track record in mentoring or leading technical teams

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

Architecture Depth (strong across most of the following)

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

AI/ML platform readiness : feature stores, embedding pipelines, RAG infrastructure, and integration with model serving layers

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 OpenSearch, 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 FinOps principles as applied to data environments, including VPC design, load balancing, IAM, encryption, and identity integration (SSO) for APEX applications

Leadership and Presence

Executive-level communication and stakeholder management skills

Demonstrated ability to coach, mentor, and grow technical practitioners

Comfortable owning technical decisions and defending them under scrutiny

Experience driving alignment across cross-functional teams, including engineering, product, and business stakeholders

Comfort with ambiguity and evolving discovery, with the discipline to work within SOW boundaries and flag scope, risk, and change-order triggers early

Experience leading structured knowledge transfer to client teams

Language: Advanced English (minimum C1).

Preferred Qualifications

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

Background in regulated industries (financial services, healthcare, higher education, or SOX-governed enterprises)

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

Benefits

100% remote work

Generous holidays and flexible PTO

Competitive phantom equity

Paid for exams and certifications

Peer bonus awards

State of the art laptop and tools

Equipment & Office Stipend

Individual professional development plan

Annual stipend for Learning and Development

Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

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.

• At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
• These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
• 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.
• If you have any questions, please contact [email protected]

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expr