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Sr. Solutions Engineer

Databricks · Mexico City

Field Engineering - FE Direct Enterprise Mexico City Posted May 8, 2026

FEQ427R3

As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customers' needs and build valuable customer engagements, and report to the Field Engineering Manager.

The impact you will have:

● You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

● You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

● 3+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

● Big data engineering (Ex: Spark, Hadoop, Kafka)

● Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

● Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

● Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

● Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

● Fluent in SQL and database technology.

● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

● [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP

● [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

● Travel to customers in your region up to 30% of the time.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Cloud Developer --- Hibrido CDMX

Orion Innovation · Mexico City, Mexico City, Mexico

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Delivery Mexico Posted Apr 23, 2026

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Perfil: Desarrollador Cloud

Rol: Desarrollador

Nivel: STD – SR

Experiencia

Años de experiencia:

3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.

Escolaridad

Licenciatura o Ingeniería en:
Sistemas
Computación
Matemáticas
Física
Carrera afín
(O experiencia equivalente comprobable)

Modalidad y Condiciones de Trabajo

Modalidad de trabajo: Híbrido
Días en oficina: 2 veces por semana
Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
Ubicación: CDMX
Dirección de sede: Polanco / Reforma

Objetivo del Puesto

Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi‑nube (AWS, GCP y/o Azure), integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa.

Certificaciones Recomendadas

Google Cloud Platform

Google Professional Cloud Developer
Google Professional Cloud Architect (deseable para perfil SR)
Google Professional Machine Learning Engineer
Google Associate Cloud Engineer

Amazon Web Services (AWS)

AWS Certified Developer – Associate
AWS Certified Solutions Architect – Associate
AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
AWS DevOps Engineer – Professional (deseable para perfil SR)

Microsoft Azure

Microsoft Certified: Azure Developer Associate (AZ‑204)
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure DevOps Engineer Expert

Machine Learning

Google Professional Machine Learning Engineer
AWS Certified Machine Learning – Specialty
Azure Data Scientist Associate
TensorFlow Developer Certificate
IBM AI Engineering Professional Certificate

Idioma

Inglés técnico (deseable)

Habilidades Blandas

Trabajo en equipo
Autogestión
Perfil autodidacta
Comunicación efectiva
Resolución de problemas
Adaptabilidad
Proactividad
Pensamiento analítico

Requisitos Técnicos

Versionador e Integrador de Código

Git
GitHub Actions / GitLab CI
Cloud Build / Cloud Deploy (GCP)
CodeBuild / CodePipeline (AWS)
Azure DevOps Pipelines

Lenguajes de Programación

Python
Node.js
TypeScript (deseable)
SQL
YAML (pipelines / Infraestructura como Código)

Sistemas Operativos

Linux (principal)
Windows
macOS

Manejadores de Bases de Datos

Cloud SQL
Amazon RDS
Azure SQL
BigQuery
Bases de datos relacionales y analíticas
Almacenamiento de objetos:
Amazon S3
Google Cloud Storage
Azure Blob Storage

Frameworks de Desarrollo

Backend

Express
Fastify (Node.js)

IA / ML

scikit-learn
TensorFlow / Keras
PyTorch

NLP

spaCy
NLTK
Hugging Face Transformers (deseable)

IDE

Visual Studio Code
IDEs compatibles con Python y Node.js

Herramientas

Docker
Kubernetes (GKE / EKS / AKS)
Helm
Terraform
MLflow / DVC
Postman (pruebas de APIs)
Prometheus / Grafana
OpenTelemetry

Plataformas Cloud

Google Cloud Platform (principal)
Amazon Web Services (deseable)
Microsoft Azure (deseable)

Asistentes de IA

No especificados explícitamente
(Uso implícito de frameworks y plataformas de IA/ML)

Conocimiento del Negocio

Marcos o Metodologías de Trabajo

Metodología Ágil
Scrum

Herramientas para Seguimiento y Control de Proyectos

Gestión de backlog (herramientas ágiles no especificadas)
Métricas ágiles:
Velocity
Lead Time
Tableros de observabilidad
Definición y seguimiento de SLO / SLI

Esquema de Trabajo

Asignación a proyectos
Desarrollo y operación de productos digitales
(No esquema de fábrica de software)

Tipo de Asignación

Proyectos
Operación
Soporte productivo
Mejora continua

Tipo de Proyecto

Ágil

Industria

Banca / Servicios Financieros

Tecnología

Cloud Computing
Inteligencia Artificial / Data

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

What information we collect during our application and recruitment process and why we collect it;
How we handle that information; and
How to access and update that information.

Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.

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Data Scientist

Nubank · Mexico, Mexico City

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Data Scientist Mexico City Posted Apr 20, 2026

About Us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia.

About the role

We are seeking an enthusiastic and driven Data Scientist to join our Credit Strategy team. This role focuses on applying innovative machine learning methodologies to our risk model and developing causal machine learning approaches for the initial line assignment workflow.

You will be responsible for

Translate business challenges into specific and well-designed machine learning solutions that meet business requirements;
Integrate and leverage external data sources to feed our models;
Ensure the team maintains a high level of technical excellence;
Contribute to a technical culture in the local team.
Bring expertise to the team to help design projects across the many areas involved in building machine learning products (training, deployment, data consistency, monitoring, governance, etc.)

We are looking for a person who has

Strong coding skills Python/Scala or equivalent languages;
Experimental design skills;
Ability to interact and communicate effectively with business and engineering;
Good understanding of model development and deployment pipeline;
Experience with machine learning tools and libraries such as Scikit-learn, Mllib and etc;
Nice data handling skills, Spark Dataframes, or SQL proficiency is a plus;
English language proficiency.

Local Benefits

Chance of earning equity at Nubank
Extended maternity and paternity leaves
Health and life insurance
NuCare - Our mental health and wellness assistance program
Nucleo - Our learning platform of courses
NuLanguage - Our language learning program
Gym partnership

Diversity & Inclusion

At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent.

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Nubank

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scikit-learn Jobs in Mexico City.

Sr. Solutions Engineer

Cloud Developer --- Hibrido CDMX

Data Scientist

About Us

About the role

You will be responsible for

We are looking for a person who has

Local Benefits

Diversity & Inclusion