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    Enterprise Data Architect - Ontario, Canada - 360insights

    360insights
    360insights Ontario, Canada

    19 minutes ago

    Default job background
    Full time
    Description

    Description

    Base salary CAD $124,000 – $135,250 or USD $121,500 – $132,750*

    Plus Bonus, Equity & Benefits

    Pay transparency

    Our salary ranges are determined by role, level, and location. The range displayed on our job posting reflects the minimum and typical maximum target for new hire salaries for the position, it does not reflect the maximum salary for the role over time. Within the range, individual pay is determined by job-related skills and experience demonstrated during the interview process.

    What you will be doing:

    360Insights is looking to evolve the experience for our clients and partners through deeper integrations across our products and an enhanced platform offering. A key part of this strategy is to enable our clients and users to access and consume the essential information they need in the manner they need it. To enable this, we look to invest further into developing our data and visualization capabilities which will power the various use cases needed to support our business and clients. We are looking for an experienced leader with extensive experience and skills in data architecture and design to drive this strategic focus area.

  • Data Architecture and Design:
  • Lead the design and implementation of robust and scalable data architectures across enterprise and 360 SaaS platform, with an initial focus on data lakes/warehouses, data pipelines, and master data management.
  • Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.
  • Create data architecture artifacts and own the architecture governance and practices.
  • Promote and articulate the industry design patterns and best practices.
  • Be part of the ARB (architecture review board) and contribute to the architecture review of new designs or enhancements.
  • Data Lake/warehouse and Data Pipeline:
  • Oversee the design of the data lake/warehouse infrastructure, ensuring it meets the organization's scalability, security, and performance requirements.
  • Promote and implement best practices for data lake/warehouse governance, metadata management, and data catalogues.
  • Design and optimize end-to-end data pipelines for efficient data flow and integration, ensuring data quality and consistency.
  • Work closely with data engineers, BI engineers, and reporting analysts to streamline the ETL (Extract, Transform, Load) processes.
  • Master Data Management:
  • Learn the master data domains within the incentive space
  • Define and implement master data management strategies to ensure the accuracy, consistency, and reliability of critical business data.
  • Establish and enforce data quality standards, consistency, and processes across the organization.
  • Assist with data governance, compliance and qualify
  • Technology Evaluation and Adoption:
  • Stay current with emerging technologies and trends in data architecture, recommending and implementing innovations that enhance our data capabilities.
  • Evaluate and select appropriate tools and technologies for different components of the data architecture.

    • What you'll bring to this role:

    What will make you a success? You've got this

  • Proven experience as a Data Architect with 5-10 years of experience, with a focus on data lakes, data pipelines, and master data management.
  • Strong proficiency in database design, data modeling, and SQL.
  • In-depth knowledge of master data management concepts and best practices, as well as hierarchy and complex relationship modeling
  • Experience with big data technologies (., Hadoop, Spark) and cloud platforms (., AWS, Azure, GCP) a big plus
  • BI and visualization experience an asset.
  • Data governance experience.
  • Excellent problem-solving and communication skills.
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