Data Architect

About Kinaxis

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.  

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

This is a remote position. You can work from home and be located anywhere in Canada, OR

our office in Ottawa, Canada

About The Role

The Data Architect, as a seasoned professional with extensive experience, is responsible for designing and managing data architecture at Kinaxis, which includes defining how data is stored, accessed, processed, and managed.

You will be a leader in designing and implementing data solutions to drive and support our global business by enabling intelligent decision making. As a technical expert, they will collaborate with stakeholders inside and outside of Corporate IT to understand business requirements, design data solutions that support organizational goals, and to develop a world class data environment.

What you will do

• Define the technical data architecture with cross-functional teams that enable consistency and scalability.
• Participate in Architecture Review Boards, interface with other Cloud Architects and act as the technical liaison for the department.
• Design, develop and deploy data warehouse solutions for the business, driving initiatives focused on data preparations, data integration, data exploration, ETL /ELT development, and advanced data modeling techniques.
• Design, build, own and run data engineering pipelines, workflows and standardized practices for delivering new products and capabilities using Data and Cloud technologies, including data transformation, processing and analysis.
• Participate in all aspects of the data solution delivery lifecycle, from ingestion to presentation.
• Facilitate discovery workshops, articulate the value proposition, build solution architecture with associated roadmaps, and communicate business value to stakeholders.
• Establish best practices and consistency across various Data on Cloud solutions
• Design and build highly reusable and scalable cloud-native data ecosystems
• Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on data solutions
• Understand data technology trends and the practical application of existing, new, and emerging technologies to enable new and evolving business needs.
• Partner closely with leadership and business stakeholders as a trusted and influential evangelist to identify important questions, define key metrics, cultivating a data driven decision making culture.
• Take ownership of complex or time critical support issues.
• Design and implement data security measures to protect sensitive information.
• Document data architecture, data flows, and system architecture for reference and future development.
• Work collaboratively with Data and other Cloud Governance specialists to align on rules, processes and standards.
• Designing the lifecycle management process to seamlessly handle Python package and API dependency version changes
  
  

What we are looking for

• BS or BA in Computer Science, Software Engineering, or demonstrated equivalent experience.
• 10+ years of experience in data architecture in a high-tech, global environment, preferably in a SaaS organization.
• Minimum 5 years' experience in developing data pipelines and workflows with GCP services and applications (Pub/Sub, Storage, Dataflow, Dataproc BQ, Airflow, Composer, BigQuery
• Minimum 5 years' experience with CI/CD deployments and code management platforms like GitHub
• Deep understanding of data and information architecture, including experience with Big Data, Cloud Native Analytics, streaming and batch data processing.
• Deep understanding of Data Modeling and Data Warehouse development.
• Strong Understanding of Data Governance and Data Quality.
• Experience deploying and operating cloud infrastructure with remote users.
• Strong written, verbal, and interpersonal communication skills.
• Ability to communicate complex, technical concepts to executive staff, business sponsors and technical resources in clear concise language.
• Highly adaptable and able to pivot based on prioritization and needs of the business; proactively solicits feedback to ensure alignment.
• Agile and resilient in managing multiple projects with multiple sources of information.
• Ability to communicate complex, technical concepts to executive staff, business sponsors and technical resources in a clear, concise, and professional language.
  
  

Technologies we use

• Programming languages: SQL, Python, Powershell
• Orchestration/Data Integration: Apache Airflow, Informatica
• Databases: Snowflake, Google BigQuery, SQL Server, PostgreSQL
• CI/CD: Github Actions Github,
• Modelling: DBT
• Presentation: PowerBI, Grafana, Looker
• IaC/CaC: Terraform, Ansible
  
  

#Senior

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Yamaha, P&G, Honda, and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons
  
  

For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com . Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at [email protected] . This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.