Senior Data Architect - Databricks PlatformMEXICOCaylent 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 MissionArchitect responsible for designing and hardening enterprise-scale Databricks data platforms within client engagements — building the guardrails, automation, and standards that let a growing number of business teams safely build on the platform without it collapsing into unmanaged "click-ops.
"Architects maintain primary depth in one core area (Data Platform Development or Data Migration & Modernization) while maintaining architectural awareness across both.Databricks depth is expected regardless of focus area.Your QualificationsKey Responsibilities:Lead architectural design for Databricks-based data platforms or modernization programs, including workspace consolidation, permissioning/persona models, and configuration-as-code patternsDatabrick platform designs align with AWS leading-practice architecture patterns (as we are AWS centric)Design of high-volume batch and real-time streaming pipelines leveraging PySpark and Structured Streaming (aka Apache Spark)Design and integration of Databrick Unity catalog with third party metadata repositories (e.g., AWS Glue Catalog, Snowflake Horizon)Design and implement automation (ConfigOps), CI/CD, and guardrail patterns that let business teams safely extend the platform without compromising governanceBuild and maintain certified data products, a semantic layer,



and lineage/metadata exposure so the platform can support both self-service and, eventually, agent-driven use casesEnsure technical viability, scalability, and production readiness of platform componentsCommunicate architectural decisions and trade-offs clearly to both technical and business stakeholders; produce architectural documentation, assessments, and roadmapsPartner with client business and engineering teams to understand upstream use-case needs and translate them into platform capabilities and guardrails, rather than working from requirements handed down secondhandRequired Technical QualificationsEnd-to-end modern data platform architecture design (lakehouse, ingestion, processing, access layers)Hands-on Databricks experience: workspace/persona architecture, Unity Catalog, lakehouse patterns, job orchestration, and native governance tooling (governed data platform patterns, lineage, access controls and maintaining business, technical and compliance metadata), tune and optimize Spark configurations, clusters and Delta Lake storageExperience architecting scalable cloud-native systems (AWS)Advanced distributed processing and streaming architecturesPlatform security, networking, and automationCost estimation and performance optimizationLeading multi-database migration and modernization initiatives, including onto DatabricksDeep expertise in OLTP/OLAP system design and schema evolutionAdvanced performance tuning, HA/DR, and security patternsCloud-native database architecture across managed servicesMigration strategy, cutover planning, and risk mitigationAcross Both:Architecture documentation and standards enforcementIaC and automation strategy (Terraform)FinOps-aligned design, including ability to audit and optimize cloud infrastructure expenseAbility to lead and facilitate technical discussions between key business, technology and knowledge stakeholdersAbility to develop Databrick roadmaps and implementation roadmapsExperience in leading, developing and mentoring delivery teamsExperience Requirements6+ years in data engineering, database engineering,



or architecture roles3+ years designing cloud-based data solutions3+ years in the AWS data landscape3+ years hands-on Databricks experience requiredHigh business acumen — comfortable working directly with client business stakeholders to understand their data and priorities, and translating that into governed, well-documented platform capabilitiesAdvanced English (minimum C1)Medical Insurance for you and eligible dependentsGenerous holidays and versátil PTOPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureThis role may require up to 25% travel, depending on business needs.NOTE: We're unable to provide visa sponsorship now or at any time in the future.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 contactCaylent 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 .
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📌 Senior Data Architect - Databricks Platform New Mexico (México)
🏢 Caylent
📍 México