Data Architect Job Toronto area,Ontario Canada,IT/Tech

As a Data Architect in the Global Data Office, you will be responsible for designing, building, and maintaining a reliable and scalable data infrastructure that supports the organization's data collection, storage, transformation, and analysis needs! You will implement robust data orchestration pipelines, along with data gathering, refinement, and processes for improving and validating data to ensure data integrity and accuracy. In this role, you work with business and technology partners to understand and anticipate the necessities for data architecture.

You ensure that the data architecture matches the organization's strategic objectives. Your expertise will be vital in crafting an efficient data environment that empowers the organization to bring data-driven insights effectively!

Position Responsibilities:

Design and implement data integration solutions to facilitate seamless data flow between systems.

Maintain existing integration frameworks and guide each squad

Evaluate emerging data technologies and tools to improve data architecture and processes.

Lead the implementation of new data solutions and technologies.

Monitor and optimize the performance of data systems to ensure efficient data processing

Develops, builds, and maintains reliable, efficient and expandable data systems for data collection, storage, transformation, and analysis.

Implements data orchestration pipelines, data sourcing, cleansing, augmentation, and quality control processes.

Collaborates with business and technology partners to gather a clear understanding of current and future data infrastructure requirements.

Required Qualifications:

Bachelor’s Degree:
Usually in computer science, information technology, information systems, or a related field.

Advanced Degrees: A Master’s degree in data science, computer science, or business administration can be advantageous and preferred for senior roles.

Several years (typically 5-10) of experience in data management, database design, data warehousing, or a similar field.

Experience with ETL tools and processes (e.g., Databricks).

Knowledge of data integration patterns and standard methodologies.

Hands on experiences with technologies like Spark, Hive, Python, Terraform .

Experience with cloud platforms such as Azure and AWS.

When you join our team:

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our distributed team, we’ll support you in building the future you want to see.

#LI-Hybrid

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$ CAD - $ CAD

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