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Data Architect(Snowflake)

Data Architect(Snowflake)

Project LimitedOld Toronto, ON, Canada
30+ days ago
Job description

Role Summary :

As a Data Architect at Project X Ltd., you will be providing our clients with your knowledge and experience in making sense of messy, unstructured data. The Data Architect will be responsible for designing, implementing, and overseeing end-to-end solutions that address designing scalable and efficient data solutions, and complex business challenges and unlock the value of data for our clients.

Major Areas of Responsibility :

  • Data Strategy and Architecture :

Define and execute data strategies that align with clients' business objectives and support their digital transformation initiatives.

  • Lead the development of enterprise-wide data architectures, including conceptual, logical, and physical data models, data flows, and integration patterns.
  • Data Governance and Compliance :
  • Establish and enforce data governance policies, standards, and best practices to ensure data quality, integrity, and security.

  • Ensure compliance with regulatory requirements such as GDPR, CCPA, HIPAA, and industry-specific standards.
  • Data Integration and Migration :
  • Lead the design and implementation of data integration solutions to consolidate, transform, and migrate data from disparate sources.

  • Architect data pipelines and orchestration workflows using modern integration technologies and platforms.
  • Advanced Analytics and Machine Learning :
  • Collaborate with data scientists and analytics teams to design and implement advanced analytics solutions, including predictive modeling and machine learning algorithms.

  • Architect data lakes and analytical environments to support exploratory data analysis and data science initiatives.
  • Cloud Data Platform and Big Data Solutions :
  • Design and implement scalable and cost-effective data architectures on cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Architect big data solutions leveraging technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
  • Data Visualization and Insights Delivery :
  • Develop interactive dashboards, reports, and visualizations to deliver actionable insights and key performance indicators (KPIs) to stakeholders.

  • Utilize data visualization tools such as Power BI, Tableau, or Looker to create compelling and intuitive visualizations.
  • Client Engagement and Thought Leadership :
  • Serve as a trusted advisor to clients, providing strategic guidance, technical expertise, and thought leadership on data architecture and analytics topics.

  • Lead client workshops, training sessions, and presentations to evangelize data-driven decision-making and promote best practices.
  • Required Knowledge, Skills, Abilities and Other :

  • College, Bachelor's, or Master's degree in Computer Science, Information Systems, or a related field.
  • Deep understanding of cloud computing principles and experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud Platform).
  • 5+ years of experience in data architecture, data engineering, and analytics, with a focus on enterprise-scale solutions.
  • Proven track record of designing and implementing complex data architectures and solutions across multiple industries and domains.
  • Expertise in data modeling, database design, and optimization techniques, with hands-on experience in relational and NoSQL databases.
  • Strong programming skills in languages such as SQL, Python, or Scala, with experience in data manipulation, transformation, and analysis.
  • Excellent communication, presentation, and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.
  • Strong leadership and team management skills, with the ability to mentor junior team members and lead cross-functional project teams.
  • Nice to Have :

  • Certification in relevant technologies or methodologies (e.g., AWS Certified Solutions Architect, Microsoft Certified : Azure Solutions Architect Expert, Certified Data Management Professional).
  • Experience with data governance frameworks, metadata management tools, and data catalog solutions.
  • Knowledge of emerging trends and technologies in data architecture, such as data mesh, event-driven architectures, and streaming analytics.
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