Data Archictect
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Location: MEXICO
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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. We appreciate your interest and encourage you to apply to roles that match your location.
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.