Design and lead scalable data engineering solutions using Databricks and Azure. Establish enterprise data modeling and engineering standards, architect pipelines and integrations, improve platform reliability and performance, guide modernization and cloud migrations, troubleshoot complex issues, and mentor data engineers while ensuring security, quality, and governance.
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: CANADA
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:
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
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!
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