Principal Data Engineer
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A senior data engineering leadership role: the Principal Data Engineer designs, builds, and evolves scalable enterprise data platforms and pipelines on Microsoft Azure and Databricks, sets data-modeling and engineering standards, and mentors other data engineers. Open only to Mexican citizens currently residing in Mexico.
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
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, or a related technical discipline.
- Familiarity with Microsoft technologies such as Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Fabric, or Power BI.
- Experience with Python, SQL, or PySpark.
- Extensive hands-on experience with Databricks in enterprise data environments.
- Strong expertise in data modeling, including conceptual, logical, and physical data models.
- Extensive experience designing and implementing data solutions on Microsoft Azure.
- Strong understanding of the Microsoft data and technology ecosystem.
- Proven experience designing scalable, reliable, and maintainable data platforms and pipelines.
- Strong understanding of data architecture, data integration, data transformation, and data lifecycle concepts.
Job duties:
- Design and implement scalable data engineering solutions using Databricks and Azure.
- Define and maintain enterprise data modeling standards and best practices.
- Lead the design of data pipelines, data transformations, and data integration solutions.
- Evaluate technical requirements and recommend appropriate data architectures and implementation patterns.
- Establish engineering standards for scalability, performance, reliability, and maintainability.
- Partner with architects and engineering teams to align data solutions with broader enterprise architecture.
- Provide technical leadership and mentorship to Senior Data Engineers and other members of the data engineering organization.
- Identify opportunities to improve data platform performance, reliability, and operational efficiency.
- Troubleshoot complex data engineering and platform issues.
- Contribute to architectural and technical decision-making across data initiatives.
- Support modernization efforts involving legacy data platforms and migration to cloud-based data architectures.
- Ensure data solutions follow established security, quality, and governance standards.
What you can expect from us
Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.
- 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.
Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!
As published by greenhouse
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
- LinkedIn Profile
- Are you a Mexican citizen currently residing in Mexico? (This is a legal requirement for this role) choose one
- What is your level of proficiency in English? choose one
- What are your salary expectations in terms of gross MXN monthly compensation?