20 publicaciones de empleo destacadas de data scientist en cuauhtémoc cdmx (¡Están contratando!)

Data Architect
BMC Software —Ciudad de México, CDMX
- $1,470,000 a $2,450,000 por año
- Azure
- Salesforce
- SQL
Lead, AI Security Operations Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- Licenciatura
Senior Data Scientist - LATAM Content
Netflix —Ciudad de México, CDMX
- SQL
- Python
Senior AI Data Engineer
BMC Software —Ciudad de México, CDMX
- $825,000 a $1,375,000 por año
- Azure
- SQL
- Disponible para viajar
Senior Data Scientist
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Python
Field Application Scientist - LATAM
Waters Corporation —San Pedro de los Pinos, CDMX
- $942,500 a $1,570,500 por año
- Doctorado
- Experiencia en ventas
- Inglés
Scientist, Consumer Science
Mondelēz International —Tlalnepantla, Méx.
- Tiempo completo
- Administración de personal
- Análisis de datos
- Inglés
- Permiso de maternidad y paternidad
13d
Data Scientist , Amazon Music - DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Maestría
- SQL
Data & AI Scientist
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- SQL
Postulación rápida
9d
Data & Analytics Specialist
Ford Motor Company —Naucalpan, Méx.
- Informática
- SQL
- Licenciatura
Data Engineer
entropia AI —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Java
- SQL
Postulación rápida
Banamex- Data Science Senior Analyst
Citi —Ciudad de México, CDMX
- Tiempo completo
- Análisis de datos
- Licenciatura
- Sin título de educación superior
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
SUB-DIRECTOR DESARROLLO DE SISTEMAS
Grupo Financiero Banorte —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
R&D Consumer Questionnaire Programming Analyst
PepsiCo —Miguel Hidalgo, CDMX
- Inglés
- Microsoft Office
- Licenciatura
Regulatory Intelligence Specialist / Medical Devices
Abbott Laboratories —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
3d
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura

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Data Architect

BMC Software -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

$1,470,000 a $2,450,000 por año

Cualificaciones

Looker
Power BI
Modelado de datos
Azure
Salesforce
NetSuite
Tableau
SQL
Seguridad
S3
Kafka
Python

Descripción completa del empleo

Basic Information

Job Name

Lead Data Scientist - Mexico

Country

Mexico

State

Ciudad de Mexico

City

Mexico City

Date Published

12-Jun-2026

Job ID

47111

Travel

You may occasionally be required to travel for business

Looking for details about our benefits?

Description and Requirements

Remote: #LI-Remote

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.

Title: Data Architect (Hands-On Builder)

Location: Mexico Remote

Data Architect will focus on the design, build, and evolve a modern, scalable data architecture that will power analytics, reporting, AI/ML use cases, and operational decision-making across the GTM business. This role will define data patterns and standards, partner with IT, and business partner teams to ensure our data platform is secure, reliable, cost-efficient, and easy to use.

This role is ideal for someone with strong hands-on architecture depth and can define target-state architecture, guide implementation, and ensure high-quality delivery across pipelines, integrations, and governance.

Key Responsibilities:

Build and Own Core Data Pipelines (Hands-On)
Architect and implement end-to-end ingestion and transformation pipelines from source systems into Snowflake.
Develop robust ELT/ETL workflows using dbt and orchestration tools (e.g., Airflow/Dagster/ADF), including:
incremental loads, SCD handling, backfills, and reprocessing
late-arriving data patterns and idempotent job design
CDC-based ingestion where applicable
Build integrations for key enterprise SaaS systems (Salesforce, Marketing Cloud, Netsuite, Zuora, Gainsight, CSOD) and internal app databases.
Data Modeling & dbt Development
Own the data modeling layer in Snowflake with dbt:
design dimensional models (star schemas), marts, and curated layers
marts, modular models, macros, packages
define metric-ready datasets (e.g., ARR/NRR, pipeline, churn, product usage) with consistent definitions
Optimize for performance and cost (clustering, warehouse sizing, query patterns, caching, micro-partitioning awareness).

Cloud Platform Enablement (AWS + Azure)

Implement secure, scalable data platform components across AWS and Azure:
landing zones, storage (S3/ADLS), networking, secrets management, and compute integration patterns
secure connectivity to Snowflake (PrivateLink/peering patterns where relevant)
Work with technology teams to implement RBAC, role hierarchy, masking policies, row access policies, and data sharing patterns.

Reliability, Testing, and Observability

Implement data quality and reliability controls:
dbt tests (schema, relationship, accepted values) and custom tests for business logic
anomaly detection and pipeline monitoring (e.g., Datadog/CloudWatch/Azure Monitor, Monte Carlo if applicable)
SLAs/SLOs for critical datasets and clear incident runbooks
Build operational readiness: logging, alerting, retries, failure isolation, and safe deploys.

CI/CD, Version Control, and Engineering Practices

Build and maintain CI/CD for data development (PR checks, dbt builds, environment promotion).
Establish practical engineering standards:
naming conventions, repo structure, branching strategy
documentation that stays current (dbt docs, data dictionaries)
code reviews and design patterns that scale with the team

AI / Agentic AI Architecture

Design and implement architecture patterns that support AI/ML, GenAI, and agentic AI use cases across the Sales business, including structured and unstructured data pipelines, retrieval-ready data design, and secure enterprise data access.
Define scalable patterns for AI-enabled applications and agents, including metadata design, indexing, vector-ready data preparation, API/tool access, and governance controls such as lineage, auditability, observability, and guardrails.
Partner Closely with Analytics & Business Teams
Collaborate with BI/Analytics to ensure the curated layer supports dashboards and self-service.
Translate business needs into data products quickly with tight feedback loops, iterative delivery, measurable outcomes.

Required Qualifications

10+ years of experience in data engineering and data architecture with a strong hands-on track record.
Strong production experience with Snowflake (performance tuning, data loading patterns, security model).
Strong production experience with dbt:
incremental models, snapshots, tests, macros, documentation, deployments
Experience building pipelines and integrations in AWS and/or Azure (both preferred).
Advanced SQL skills and strong understanding of data modeling (dimensional modeling, SCD types).
Experience with orchestration (Airflow, Dagster, Prefect, or Azure Data Factory) and reliable job design.
Strong understanding & framework implementation of data quality, monitoring, and operational best practices.

Preferred Qualifications (Nice to Have)

Experience with ingestion tooling (Boomi, Fivetran, Matillion, Informatica, Stitch) and/or CDC tooling (Debezium/HVR).
Experience designing or supporting data architecture for GenAI, RAG, enterprise search, or agentic AI use cases in production environments.
Familiarity with modern AI-related technologies and patterns such as OpenAI APIs, LangChain/LangGraph, Snowflake Cortex, Azure AI services, vector-ready data pipelines, and secure tool integration for AI agents.
Experience with streaming/event ingestion (Kafka/Kinesis/Event Hubs) for near-real-time pipelines.
Familiarity with governance/security patterns in Snowflake (masking/row access, tags, classification).
Exposure to BI layers (Tableau/Power BI/Looker) and semantic/metrics frameworks.
Python experience for custom integrations, APIs, and automation (Lambda, Azure Functions).

CA-DNP

Our commitment to you!

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

Min salary

1,470,000

Max salary

2,450,000

Postúlate ahora

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data scientist empleos en cuauhtémoc cdmx

Data Architect

Lead, AI Security Operations Engineer

Senior Data Scientist - LATAM Content

Senior AI Data Engineer

Senior Data Scientist

Field Application Scientist - LATAM

Scientist, Consumer Science

Data Scientist , Amazon Music - DISCO

Data & AI Scientist

Data & Analytics Specialist

Data Engineer

Banamex- Data Science Senior Analyst

Data Engineer - Databricks

Data Engineer

SUB-DIRECTOR DESARROLLO DE SISTEMAS

Machine Learning Engineer

R&D Consumer Questionnaire Programming Analyst

Regulatory Intelligence Specialist / Medical Devices

Data Engineer II, DASH Device Operations

Sr. Data Scientist

Quiero recibir la alerta de empleo más reciente para data scientist en cuauhtémoc cdmx

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