Lead the design and delivery of scalable cloud-native data platforms, build pipelines and lakehouses, mentor engineers, contribute to architecture, support pre-sales, and engage with stakeholders.
We are looking for a Senior/Lead Data Engineer who is passionate about building scalable, cloud-native data solutions and eager to grow into a broader architecture role. You will lead the technical delivery of modern data platform solutions while engaging with clients and internal stakeholders to design, implement, and optimize enterprise-grade data systems.
Responsibilities
- Lead end-to-end development and implementation of scalable data pipelines, data lakes, and cloud-native data platforms
- Ensure performance, security, and reliability of data solutions through CI/CD, testing, and automation best practices
- Mentor and guide a team of engineers; review code, enforce standards, and foster knowledge sharing
- Participate in solution design with architects and senior stakeholders - contribute to data architecture, system integrations, and technology selection
- Translate business needs into data models, transformation logic, and orchestration workflows
- Gradually take on architecture ownership for projects and support pre-sales with technical scoping and effort estimation
- Work closely with business and technical stakeholders to clarify requirements, demonstrate value, and refine deliverables
- Participate in pre-sales activities: help shape proposals, provide technical insights, and create solution roadmaps
- Stay on top of modern data platform trends (e.g., Data Mesh, Lakehouse, real-time analytics, observability)
- Explore new tools and techniques - contribute to N-iX’s internal Data & Analytics accelerators and reference architectures
Requirements
- 5-7 years of hands-on experience in data engineering
- Strong SQL, Python, and Spark skills
- Strong expertise in Azure and Databricks modern data platforms
- Knowledge of Airflow, dbt, Kafka, or similar tools preferred
- Proven experience building data lakes, lakehouses, data warehouses, and streaming pipelines
- Familiarity with architectural concepts like Data Mesh, Data Fabric, and cloud-native data architectures
- Experience leading delivery teams or mentoring other engineers
- Excellent verbal and written communication in English
- Willingness to travel for business (when needed) and to engage directly with clients
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Top Skills
Airflow
Azure
Ci/Cd
Data Lake
Data Warehouse
Databricks
Dbt
Kafka
Lakehouse
Python
Spark
SQL
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
