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# Data Architect

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/caylent.md)ShareRemote from[Argentina](https://jobicy.com/job-region/argentina.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished21 Oct 2026Apply before20 Nov 2026Listing views29Application actions3Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Caylent is hiring a Data Architect to lead enterprise-scale cloud data platform and modernization engagements. The role designs scalable, secure, production-ready AWS data solutions, including lakehouse architectures, streaming systems, database migrations, and cloud-native data services. The architect will document technical decisions, establish standards and roadmaps, optimize cost and performance, and communicate trade-offs to stakeholders. Candidates need substantial data or database engineering experience, at least three years designing cloud data solutions and AWS data landscape expertise. The position is fully remote in Argentina and may require up to 25% travel.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior architecture role requiring deep expertise across distributed data platforms, databases, migrations, security, automation, and AWS. It also demands ownership of high-impact technical decisions and clear communication with client and delivery stakeholders.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$110,000US market range (per year)$85k–$140k0$154k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Annual compensation is inferred as the standard cadence for a full-time senior Data Architect role; the displayed USD range is an AI market estimate, not verified employer compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Data Architecture](https://jobicy.com/jobs?search_keywords=Data%20Architecture.md)[Cloud-Native Architecture](https://jobicy.com/jobs?search_keywords=Cloud-Native%20Architecture.md)[Data Platform Design](https://jobicy.com/jobs?search_keywords=Data%20Platform%20Design.md)[Data Migration](https://jobicy.com/jobs?search_keywords=Data%20Migration.md)[Database Modernization](https://jobicy.com/jobs?search_keywords=Database%20Modernization.md)[Lakehouse Architecture](https://jobicy.com/jobs?search_keywords=Lakehouse%20Architecture.md)[Distributed Processing](https://jobicy.com/jobs?search_keywords=Distributed%20Processing.md)[Streaming Architecture](https://jobicy.com/jobs?search_keywords=Streaming%20Architecture.md)[OLTP/OLAP](https://jobicy.com/jobs?search_keywords=OLTPOLAP.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[FinOps](https://jobicy.com/jobs?search_keywords=FinOps.md)[Performance Optimization](https://jobicy.com/jobs?search_keywords=Performance%20Optimization.md)[High Availability and Disaster Recovery](https://jobicy.com/jobs?search_keywords=High%20Availability%20and%20Disaster%20Recovery.md)[Technical Documentation](https://jobicy.com/jobs?search_keywords=Technical%20Documentation.md)

Sample interview questionsHow would you design an enterprise data platform on AWS for batch and real-time analytics?I would begin with business outcomes, data domains, volume, latency, security, and governance requirements. I would define ingestion paths for batch and streaming data, use a governed storage and lakehouse layer, select scalable processing engines, and expose curated data through fit-for-purpose access layers. The design would include observability, data quality controls, IAM and network segmentation, infrastructure as code, disaster recovery, and FinOps guardrails.

Describe your approach to a multi-database migration and modernization program.

I start with discovery of workloads, dependencies, schemas, SLAs, data quality, and operational risks. I group applications into migration waves, choose rehost, replatform, or refactor paths, establish replication and validation methods, and create a tested cutover and rollback plan. Throughout delivery, I track performance, security, availability, and stakeholder readiness so the migration is measurable and low risk.

How do you communicate an architectural trade-off to technical and non-technical stakeholders?

I frame the decision around the business objective and present a small number of viable options with their cost, delivery timeline, risk, scalability, and operational implications. I use diagrams and concise decision records for technical audiences, while translating impact into outcomes for business stakeholders. I make the recommendation explicit, document assumptions, and identify what would cause the decision to be revisited.

What practices do you use to make data architectures secure and production-ready?

I apply least-privilege access, encryption in transit and at rest, private networking, secrets management, audit logging, and clear data classification policies. Production readiness also includes automated deployments, monitoring, alerting, capacity planning, backup and recovery testing, data-quality checks, and documented operational runbooks. I validate these controls early through architecture reviews and non-functional testing.

How do you incorporate FinOps into data platform architecture?

I make cost a design constraint from the beginning by modelling expected storage, compute, transfer, and managed-service consumption. I use tagging, budgets, usage dashboards, lifecycle policies, autoscaling, workload scheduling, and right-sizing to keep spend visible and controllable. I also review cost and performance together regularly, because the lowest unit cost is not always the best operational outcome.

Opportunity details

## About this role.

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!

### The Mission

Architect responsible for designing enterprise-scale data solutions within engagements, guiding technical direction, and ensuring high standards of performance, security, and scalability.

Architects maintain primary depth in one core area (between Data Platform Development and Data Migration & Modernization) while maintaining architectural awareness across both.

### Your Qualifications

Key Responsibilities:

* Lead architectural design for data platforms or modernization programs
* Ensure technical viability, scalability, and production readiness
* Communicate architectural decisions and trade-offs clearly
* Produce architectural documentation, assessments, and roadmaps

Required Technical Qualifications

Platform Architecture Focus:

* End-to-end modern data platform architecture design (lakehouse, ingestion, processing, access layers)
* Experience architecting scalable cloud-native systems
* Advanced distributed processing and streaming architectures
* Platform security, networking, and automation
* Cost estimation and performance optimization

Migration & Modernization Architecture Focus:

* Leading multi-database migration and modernization initiatives
* Deep expertise in OLTP/OLAP system design and schema evolution
* Advanced performance tuning, HA/DR, and security patterns
* Cloud-native database architecture across managed services
* Migration strategy, cutover planning, and risk mitigation

Across Both:

* Architecture documentation and standards enforcement
* IaC and automation strategy
* FinOps-aligned design

Experience Requirements

* 6+ years in data engineering, database engineering, or architecture roles
* 3+ years designing cloud-based data solutions
* 3+ years in the AWS data landscape

Language

Advanced English (minimum C1).

### 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 talent@caylent.com

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 expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Show more

[Apply now >](https://jobicy.com/jobs/156241-data-architect-2.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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