3Pillar Global
Data Architect
Canada
Sponsorship not specifiedDetected 250 days ago
PythonJavaScalaSQLNoSQLDynamoDBSnowflakeRedshiftDatabricksAWSGCPAzureLinuxDevOpsKafkaSparkData AnalysisData EngineeringData VisualizationComplianceHIPAAEHR/EMRCommunicationCollaboration
About the role
- Data Architect Embark on an exciting journey into the realm of data engineering and architecture with 3Pillar!
- We extend an invitation for you to join our team and gear up for a thrilling adventure.
- Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. - We're big on your well-being - as a company, we spend a whole trimester in our annual cycle focused on wellbeing.
Responsibilities
- Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
- Ability to implement data validation processes and establish data quality standards.
- 3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business.
- This means that you will work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions..If your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Engineering! 🌍🔥
- At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.
- Global Community - Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
- It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.
Requirements
- Strong hands-on experience with either Databricks or Snowflake
- experience with both is desirable.
- Experience with the AWS/Azure/GCP data engineering services
- Proficiency in data visualization tools like Tableau, Power BI or similar to create meaningful insights
Compensation
- We're big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing.
Benefits
- Imagine a flexible work environment - whether it's the office, your home, or a blend of both.
- You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday.
- We're big on your well-being - as a company, we spend a whole trimester in our annual cycle focused on wellbeing.
- Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
- Growth & Development - Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.
Company info
- Collaboration, Outperform, Respect, and Evolve-the principles that shape how we work, grow, and succeed together.
- Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation - doing work that is open, portable, and built to last.
- We are building the future of enterprise AI.
- As a Data Architect you will be at the heart of the organization and support our clients to take control of their data and get value out of it by defining a reference architecture for our customers.
- At 3Pillar, we offer a world of opportunity:
- Join us and be a part of a global tech community! 🌍💼 Check out our Linkedin site and Careers page to learn more about what it's like to be part of our #oneteam!
- Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve-the principles that shape how we work, grow, and succeed together.
Equal opportunity
- equal opportunity employer.
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This listing is sourced directly from 3Pillar Global's careers page and normalized into a canonical job model.