Senior Data Architect

Job Title: Senior Data Architect
Location: Toronto, ON (Hybrid)
Estimated Duration: 6 Months

Job Profile Summary
Designs and provides overall technical leadership and oversight for the implementation of large-scale data solutions, specializing in the development and optimization of architectures for handling large volumes of data within big data platforms. Actively oversees the implementation, performance, and optimization of data systems.

Job Profile Description
Our Client is a leading international financial services provider, helping people make decisions easier and lives better. Help shape the future you want to see — and discover that better can take you anywhere you want to go.

JOB DESCRIPTION
Key Responsibilities:

• Leads the development and implementation of data integration and migration strategies for large datasets.
• Designs and architects highly scalable data pipelines to load data from various source systems.
• Designs, architects, and maintains data models, data warehouses, and data lakes optimized for scalability and performance.
• Designs data architecture and IT solutions to ensure data is stored properly, usable by business units, and protected from attacks.
• Optimizes data solutions for performance and scalability, utilizing techniques such as data partitioning, distributed processing, and data compression.
• Identifies the needs of the data lakes and data warehouses, the data that is available, and creates a blueprint for creating, testing and maintaining them.
• Works with database administrators and data analysts to ensure they can easily use and access data.
• Works with management to create databases that will be usable and store the required information.
• Addresses issues with data migration (e.g., validation, clean-up and mapping) and understands the importance of Data Dictionaries.
• Documents data architectures, technical processes, and performance optimization strategies.
• Documents data interfaces and movement which includes frequency of movement, data transformations, and any aggregation or calculations.
• Integrates views of data by working with business team members and application designers to determine data requirements (e.g., availability, volumes).
• Defines data architecture standards and guidelines, and how to use the architected databases.
• Helps ensure a focus on data quality, working closely with business team members to determine its importance.
• s software/platform/infrastructure architecture plans to support business strategy and outcomes.
• Defines the overall integration of Data and ML pipelines across the data supply chain and defines the technical and operational design of these pipelines.
• Implements mechanisms to monitor and prevent unethical use of data, such as bias in algorithms or discriminatory practices.

Job Requirements:

• Experience architecting, designing and developing large-scale data solutions and enterprise-wide systems
• Strong knowledge of data management skills (e.g., Hadoop, NoSQL, Spark), metadata management, big data management
• Expert knowledge of structured analysis and design techniques
• Knowledge across data technology stack (e.g., Azure Data Factory, Databricks, Spark, Python, Synapse)
• Strong understanding of data management, from RDBMS to NoSQL data models
• Knowledge of ETL and data integration tools and technologies
• Software development experience using multiple languages (e.g., Java, C, C++, C#)
• Understanding of logical designs of how databases will link to each other and the flow of data between stages
• Ability to use AI to support data management strategies.

Decision Authority:

• Provides professional advice – takes a lead role of process or program execution
• Is accountable for own work and contributes to setting standards through expertise in own job discipline that impact others’ deliverables
• Work is guided by cascaded policies or business plans
• May lead medium to large size projects or work streams with moderate resource requirements, risk and/or complexity with multiple teams representing different interests

Skills:

• Data Governance
• Data Warehousing
• Data Modeling
• Data Visualization
• Cloud Computing
• Programming Languages
• Performance Optimization
• Data Security
• Data Integration