20 publicaciones de empleo destacadas de cloud data analytics en loreto cdmx (¡Están contratando!)

Data Architect
BMC Software —Ciudad de México, CDMX
- $1,470,000 a $2,450,000 por año
- Azure
- Salesforce
- SQL
Manager, Commercial Performance Analytics.
Pfizer —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Maestría
- Experiencia en bases de datos
Data Scientist II
The Nielsen Company —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- DevOps
- SQL
Postulación rápida
Physical Security Technology Manager
PepsiCo —Miguel Hidalgo, CDMX
- Disponibilidad para viajar hasta un 50 %
- PMP
- Inglés
7d
Data Engineering Director: eCommerce & Consumer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Desarrollo de software
- Liderazgo
Postulación rápida
Solution Architect
Kutir Technologies —Miguel Hidalgo, CDMX
- $150,000 a $165,000 por mes
- Tiempo completo
- Home Office (Desde casa)
Postulación rápida
13d
Staff I Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
Postulación rápida
7d
Analyst, Reference Data & Security Master
S&P Global —Ciudad de México, CDMX
- Correo electrónico
- Azure
- Oracle
- Informática
- Vacaciones adicionales o permisos con goce de sueldo
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Expert tech Solutions
Nestlé —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
7d
Business Development Representative – Microsoft Fabric (Data & AI)
TD Synnex —Ex-Hacienda de Guadalupe Chimalistac, CDMX
- Tiempo completo
Senior Manager, Data Engineering
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
Data Integration Engineer
Alia Integrando Talento —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Oracle
- Informática
Postulación rápida
Senior Data Analyst
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Experiencia en ventas
- Seguro de vida
10d
Data Engineer
The Cervantes Group —Ciudad de México, CDMX
- Bilingüe
- Azure
- Informática
6d
Next Gen Data Engineer
Itera Latam —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Informática
- Ingeniería
Postulación rápida
Business Intelligence Developer
UST —Ciudad de México, CDMX
- Oracle
- Informática
- Análisis de datos
- Seguro de vida
Postulación rápida

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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

Refina tu búsqueda

cloud data analytics empleos en loreto cdmx

Data Architect

Manager, Commercial Performance Analytics.

Data Scientist II

Physical Security Technology Manager

Data Engineering Director: eCommerce & Consumer

Solution Architect

Staff I Data Engineer - CORO Products

Analyst, Reference Data & Security Master

Senior Data Engineer

Senior Data Engineer

Expert tech Solutions

Business Development Representative – Microsoft Fabric (Data & AI)

Senior Manager, Data Engineering

Senior Software Development Engineer, Big Data

Data Engineer

Data Integration Engineer

Senior Data Analyst

Data Engineer

Next Gen Data Engineer

Business Intelligence Developer

Quiero recibir la alerta de empleo más reciente para cloud data analytics en loreto cdmx

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