Data Architect (Cloud)
Project X
- Toronto, ON
- Permanent
- Full-time
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 ResponsibilityData 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- College, Bachelor's, or Master's degree in Computer Science, Information Systems, or a related field.
- 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.
- Deep understanding of cloud computing principles and experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud Platform).
- 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.
- 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.