Data Engineer Principal
Data Engineer Principal
Posted on :
29-08-2025
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1 Vacancy
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Job Description
About Infostrux:
Infostrux is one of North Americas fastest-growing data-focused consultancies. Within 18 months of our founding in 2021 Snowflake recognized us at the highest partnership tiera reflection of our deep expertise and impact.
We help organizations unlock the value of their data by building modern cloud-native platforms that power analytics AI and machine learning. Our work spans the modern data stackcovering data engineering architecture integration and modellingwith Snowflake as one of our core partners.
From startups to Fortune 500s across industries like finance health gaming and retail we design and deliver scalable data solutions that enable faster smarter data-driven decisions. And as proud recipients of the Great Place to Work Certification (2025) we are equally committed to fostering a culture of trust collaboration and growth for our people.
Job Summary:
Are you passionate about designing and delivering cutting-edge data engineering solutions that transform how organizations use their data
As a Data Engineer Principal you will lead complex engagements provide technical vision and inspire teams to deliver scalable high-quality data solutions. You thrive on solving challenging problems staying ahead of technology trends and turning innovation into practical results. Youll combine deep technical expertise with strong consulting and leadership skills guiding clients and internal teams toward data excellence.
What youll get to do
You will be part of a Data Engineering group of curious collaborative and highly skilled professionals. This team designs and implements modern cloud-based data pipelines platforms and architectures that enable analytics machine learning and real-time insights. As a Principal you will:
Core Operational Functions:
- Principal Consulting on Enterprise Data Engineering Initiatives Advise clients on data platform strategy modern architectures and best practices for building scalable secure and efficient data solutions.
- Technical Leadership Define and oversee end-to-end solution architecture ensuring quality performance and maintainability across projects.
- Solution Implementation & Guidance Collaborate with delivery teams to design build and deploy data pipelines integration frameworks and automation tools.
- Pre-Sales & Advisory Partner with sales teams to develop proposals lead discovery sessions and create Proof of Concepts (PoCs) and Proof of Value (PoVs) to demonstrate solution feasibility and value.
- Thought Leadership Contribute to industry presence through public speaking publishing technical articles and building hands-on labs.
- Innovation & R&D Develop reusable tools accelerators and templates to improve delivery velocity and consistency.
- Mentorship Coach and support engineers fostering technical growth and cross-team knowledge sharing.
- Cross-Functional Collaboration Work closely with data scientists analysts and stakeholders to translate business needs into engineered solutions.
What youll bring:
- Proven experience leading large-scale data engineering initiatives in cloud environments (AWS Azure GCP)
- Expertise in building and optimizing modern data pipelines and architectures using technologies such as DBT Airflow Prefect or Dagster
- Strong proficiency in SQL and programming languages such as Python Java or Kotlin
- Experience with cloud data warehouses (Snowflake BigQuery Databricks Azure Synapse) and big data platforms (Spark Presto Amazon EMR)
- Knowledge of container orchestration (Kubernetes) and CI/CD automation for data workflows
- Ability to design and implement streaming data solutions using tools like Kafka or Kinesis
- Strong consulting skills with the ability to engage executive stakeholders and translate technical concepts into business value
- Demonstrated thought leadership through conference speaking publishing or community contributions
- Hands-on experience delivering production-grade data solutions that meet high standards for quality scalability and security
- Bachelors or Masters degree in Computer Science Data Engineering or related field; relevant certifications (Snowflake AWS GCP Azure) are a plus.
What We Work With:
- Modern Data Workflows: DBT Airflow Prefect Dagster
- Programming Languages: Python Java Kotlin JavaScript
- Big Data Platforms: Apache Spark Presto Amazon EMR
- Cloud Data Warehouses: Snowflake Data Cloud Google BigQuery Databricks Lakehouse Azure Synapse
- Databases: SQL Server PostgreSQL MySQL Oracle Vertica
- Container Management: Kubernetes
- Streaming & Event Processing: Apache Kafka Amazon Kinesis
- Visualization Tools: Tableau Looker Power BI
- ML/AI Integration: Amazon Sagemaker Azure ML Studio
Whats in it for you Were so glad you asked!
You will be surrounded by some of the brightest and most accomplished technical minds in our field. We are a team of very diverse and passionate professionals who love working together and solving problems by leveraging technology to help our customers. We pride ourselves in our outstanding work culture that is grounded in our 8 core values: trust excellence integrity humility accountability responsibility kindness and fun.
We value our people above all and we provide a competitive compensation and benefits package benefits to show our team our appreciation for everything they do:
- We are a 100% remote organization and our team members can work from the comfort of their homes as well as anywhere abroad where they are entitled to work for up to 3 months per year.
- We are strong believers of work-life integration and we offer a flexible schedule so that our team can manage their own workload and still be there for family and loved ones.
- We offer 4 weeks of vacation annually in addition to paid personal and sick days so that our team can unwind recharge and enjoy time away for hobbies and family.
- We provide a monthly bring-your-own-device allowance for each team member to choose the computer and phone of their preference (and it is theirs to keep afterwards).
- We strongly believe in professional growth so we are continuously educating ourselves with regular lunch & learns and industry events and we invest in professional development and industry-based certifications for everyone in our team.
- We constantly encourage everyone to step outside of their comfort zone and try new things so we dedicate time each month to work on non-client work and collaborate on new innovative ideas and we reward people who experiment and take risks.
- We enjoy getting together and we promote co-working days and social events in our main locations on a regular basis.
We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race colour religion gender gender identity or expression sexual orientation national origin genetics disability or age. Please note that you must be legally eligible to work in Canada to be considered for employment and if selected you must complete a criminal and credit background check to be hired. Compensation for this role depends on various factors including seniority skill level and location. Compensation structures may also differ based on the type of engagementcontract rates vary from full-time employee salary ranges. Specific details will be discussed during the hiring process.
Business and job information:
Company name: Infostrux Solutions Inc.
Address: Suite # V16 407 Iroquois Shore Rd Unit 6 Oakville ON L6H 1M3
Contact information: Infostrux Human Resources department: email: Phone: 1-.
Location of work: Flexible reporting to the Ontario location.
Job title: Data Engineer Principal NOC-code: 21211
Employment term: Full-time permanent
Compensation Range: CAD 180.00000 to CAD 200.00000
Benefits Offered: Health and dental benefits begin on the first day of employment. Cell phone and computer allowance. Accidental death and injury benefits. RRSP matching plan 4 annual vacation weeks 3 annual personal days sick days as per company policy.
We look forward to getting to know you!
Employment Type
Full-Time
Key Skills
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