Data Archictect

Nexaminds; Mexico; Remote; MXN 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Stock options

Remote work options

Flexible working hours

Benefits above the law

Mentorship opportunities

Job summary

Nexaminds in Mexico is seeking a Principal Data Engineer to design, build, and evolve scalable data solutions within a Microsoft Azure and Databricks ecosystem. You will define enterprise data strategies, guide engineers, and ensure scalable, reliable data platforms that meet business needs.

The role emphasizes architecture leadership across teams, data modeling across domains, governance, and modernization initiatives.

Qualifications

• 10+ years in Data Engineering, Data Architecture, Software Architecture, or related field.
• Experience at Principal/Architect or senior technical level in enterprise environments.
• Deep expertise in data modeling (conceptual, logical, physical).
• Ability to define enterprise data strategies and architecture roadmaps aligned with business objectives.
• Strong experience translating complex business requirements into scalable data models.

Responsibilities

• Define and lead the enterprise data strategy for a large-scale modernization initiative.
• Design conceptual, logical, and physical data models across complex business domains.
• Translate business requirements into scalable data architecture and modeling strategies.
• Establish data architecture principles, standards, patterns, and reusable models for engineering teams.
• Lead the architectural approach for data modernization, migration, and transformation initiatives.
• Analyze complex data environments and identify opportunities for decomposition, consolidation, standardization, and modernization.
• Define scalable data architectures using Databricks, Azure, and the Microsoft data ecosystem.
• Guide decisions around relational and NoSQL data stores, data structures, integration patterns, scalability, and performance.
• Partner with Engineering and Solution Architects to align data models, application architecture, services, and business domains.
• Work closely with Product and Business stakeholders to translate capabilities into enterprise data solutions.
• Provide technical direction and mentorship to Senior Data Engineers and other teams.
• Drive consistency and alignment of data architecture across teams and workstreams.
• Identify data-related risks and trade-offs and establish strategies to address them.
• Contribute to technical roadmaps and evolution of the data platform.
• Champion data quality, governance, scalability, security, and maintainability.

Skills

Databricks

Microsoft Azure

Data modeling

Data architecture

Enterprise data strategy

SQL/NoSQL databases

Leadership

Communication

Architecture roadmaps

Cross-team collaboration

Tools

Azure services

NoSQL databases

Relational databases

Job description

Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth. Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Location: MEXICO

Eligibility Notice This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered.

Nexaminds is looking for a Principal Data Engineer to design, build, and evolve scalable data solutions within a Microsoft Azure and Databricks ecosystem. The ideal candidate brings deep hands‑on experience with Databricks, Azure, and enterprise data modeling, combined with the ability to make architectural decisions, establish engineering best practices, and guide other engineers in the development of scalable and reliable data platforms.

Qualifications we are looking for:

• 10+ years of experience in Data Engineering, Data Architecture, Software Architecture, or a related technical discipline.
• Experience operating at a Principal, Architect, or equivalent senior technical level within enterprise-scale technology environments.
• Deep expertise in data modeling, including conceptual, logical, and physical data modeling.
• Proven ability to define enterprise data strategies and architecture roadmaps aligned with business objectives.
• Strong experience translating complex business requirements and domains into scalable, durable, and reusable data models.
• Experience designing data architectures for large-scale, distributed, and complex business environments.
• Strong hands‑on experience with Databricks.
• Strong experience with Microsoft Azure data and cloud technologies.
• Strong knowledge of the Microsoft data ecosystem.
• Experience with relational and NoSQL database technologies and the ability to select appropriate data storage approaches based on business and technical requirements.
• Experience leading or contributing to large-scale data modernization, migration, or re-platforming initiatives.
• Strong understanding of data architecture within distributed systems, including data integration and service-to-service interactions.
• Experience defining data standards, architecture patterns, governance practices, and reusable models across engineering teams.
• Ability to work across Business, Product, Engineering, Architecture, and other technical teams to establish technical direction and drive alignment.
• Strong communication, strategic thinking, and technical leadership skills.

Job duties:

• Define and lead the enterprise data strategy for a large-scale modernization initiative.
• Design and evolve conceptual, logical, and physical data models across complex business domains.
• Translate business and domain requirements into scalable data architecture and modeling strategies.
• Establish data architecture principles, standards, patterns, and reusable models for engineering teams.
• Lead the architectural approach for data modernization, migration, and transformation initiatives.
• Analyze complex data environments and identify opportunities for decomposition, consolidation, standardization, and modernization.
• Define scalable data architectures using Databricks, Azure, and the Microsoft data ecosystem.
• Guide decisions around relational and NoSQL data stores, data structures, integration patterns, scalability, and performance.
• Partner with Engineering and Solution Architects to align data models, application architecture, services, and business domains.
• Work closely with Product and Business stakeholders to understand business capabilities and translate them into enterprise data solutions.
• Provide technical direction and mentorship to Senior Data Engineers and other technical teams.
• Drive consistency and alignment of data architecture across multiple teams and workstreams.
• Identify data-related risks, dependencies, and architectural trade-offs and establish strategies to address them.
• Contribute to technical roadmaps and long‑term evolution of the organization's data platform.
• Champion data quality, governance, scalability, security, and maintainability across the platform.

What you can expect from us

• Stock options
• Remote work options
• Flexible working hours
• Benefits above the law
• But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
• You'll have access to mentorship and tons of opportunities to learn and level up.