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Data Architect
Posted on 3/10/2022
Vancouver, BC, Canada
Experience Level
Desired Skills
Data Analysis
  • Post-secondary degree in information technology, computer engineering, computer science or related fields
  • 3+ years' experience in data architecture roles
  • Experience working with a variety of different database technologies (e.g. Postgres, MSSQL, SQLite, etc.)
  • Experience working in a cross-functional environment with experts from different domains
  • Familiarity with standards and guidelines for enterprise architecture (TOGAF and Zachman frameworks)
  • Knowledge of scientific digital data acquisition technologies and scientific data analysis methods
  • Knowledge of requirements for software engineering for applications integration
  • Practical experience using Agile project management frameworks
  • Experience working in chemical formulation development and/or agricultural crop protection R&D is an asset
  • Experience designing data management and analysis systems for research scientists is an asset
  • Experience leading data systems implementation and change management processes is an asset
  • Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
  • Establish and own the scientific data architecture and its vision, strategy, and governance
  • Evaluate multiple third-party platforms for best fit with current data infrastructure and facilitate buy vs build decision-making among stakeholders
  • Design a system for flexible access by diverse human and machine-based applications
  • In collaboration with scientists and engineers, develop principles and standards for smooth flows between data generation, processing and application technologies
  • Work with experimental science and computational chemistry/machine learning teams to implement the data management framework
  • Work with software engineering to develop user-friendly interfaces for data collection and analysis
  • Stay abreast of emerging technologies and utilize opportunities to leverage them
  • Document entire system and develop training materials for users
  • Performs other related duties and tasks as required
Desired Qualifications
  • Self-starter, self-motivated, collaborative, flexible and open-minded
  • Strong analytical and problem-solving skills, with ability to provide clear and actionable recommendations in the presence of incomplete or uncertain information
  • Able to demonstrate and inspire commitment to continuous improvement and continuing education
  • Able to align technology with business goals, including quantifying and documenting technology value propositions and real value delivered
  • Able to communicate complex information to a variety of internal and external stakeholders

51-200 employees

Terramera uses AI and ML to advance agriculture.
Company Overview
Terramera uses AI and ML to advance agriculture.