Data Architect

1 month ago

Richmond Hill, Ontario, Canada Project X Full time
Role Summary

As a Data Architect at Project X Ltd., you will be responsible for designing, implementing, and overseeing end-to-end solutions that address complex business challenges and unlock the value of data for our clients.

Key Responsibilities
  • Data Strategy and Planning:
    • Collaborate with clients to understand their business goals and develop data strategies aligned with their objectives.
    • Lead the planning and roadmap development for data architecture projects, ensuring alignment with organizational priorities.
  • Data Modeling and Design:
    • Design and develop conceptual, logical, and physical data models to support business requirements and data analysis needs.
    • Implement best practices for data modeling, including normalization, denormalization, and dimensional modeling techniques.
  • Data Integration and ETL Development:
    • Lead the design and implementation of data integration solutions to consolidate and harmonize data from multiple sources.
    • Develop and optimize Extract, Transform, Load (ETL) processes to ensure efficient data movement and transformation.
  • Database Management and Optimization:
    • Provide expertise in database management tasks such as database installation, configuration, performance tuning, and capacity planning.
    • Optimize database performance and scalability through indexing strategies, query optimization, and partitioning techniques.
  • Data Governance and Security:
    • Define and enforce data governance policies and standards to ensure data quality, integrity, and security.
    • Implement access controls, encryption, and auditing mechanisms to protect sensitive data assets.
  • Data Visualization and Reporting:
    • Design and develop interactive dashboards, reports, and visualizations to communicate insights and key metrics to stakeholders.
    • Utilize data visualization tools such as Power BI, Tableau, or equivalent to create compelling and actionable visualizations.
  • Documentation and Knowledge Sharing:
    • Create and maintain documentation for data architecture solutions, including technical specifications, data dictionaries, and architectural diagrams.
    • Share knowledge and best practices with team members and clients through training sessions, workshops, and knowledge transfer activities.
Requirements
  • College degree, Bachelor's, or Master's degree in Computer Science, Information Systems, or a related field.
  • 3-5 years of experience in data architecture, data modeling, and database design.
  • Proficiency in data modeling tools such as ERwin, ER/Studio, or equivalent.
  • Strong SQL skills and experience with relational database management systems (e.g., SQL Server, Oracle, PostgreSQL).
  • Hands-on experience with ETL tools and processes, such as Informatica, Talend, or SSIS.
  • Expertise in data visualization and reporting tools such as Power BI, Tableau, or QlikView.
  • Knowledge of data governance principles, data security practices, and regulatory compliance requirements.
  • Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members.
Nice to Have
  • Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).
  • Familiarity with big data technologies such as Hadoop, Spark, or NoSQL databases.
  • Certification in relevant technologies or methodologies (e.g., Microsoft Certified: Azure Data Engineer Associate, TOGAF Certified).

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