Data Architect

5 days ago

Mississauga, Ontario, Canada Flexstaf IT Full time

Job Summary

Company: Flexstaf IT

Job Title: Data Architect

Job Type: Full-time

Location: Remote

About Us

Flexstaf IT is a leading provider of innovative technology solutions. We are seeking a highly skilled Data Architect to join our team and help drive our business forward.

Job Description

Key Responsibilities:

1. Enterprise Data Architecture Strategy

Develop and maintain a comprehensive enterprise data architecture strategy that aligns with our business goals and objectives.

2. Data and Analytics Solutions

Orchestrate data and analytics solutions projects and corresponding strategies between business units and development teams.

3. Strategy & Planning

Develop and maintain enterprise data architecture strategy for the organization.

Ensure that planning and practices are aligned with strategic business goals and the company's overall strategic vision.

Develop standards and processes to support and facilitate data and analytics projects and initiatives.

4. Acquisition & Deployment

Research and make recommendations on products and services in support of procurement and development efforts.

Collaborate with analysts, business users, and functional users in the testing of Data and Analytics solutions.

5. Operational Management

Ensure the collection and coherent interpretation of the various business processes affected by Enterprise Solutions efforts.

Work diligently to enhance or improve business processes or, as necessary, minimize the impact of Enterprise Data Architecture Solutions projects on those processes.

Requirements:

1. Experience

10+ years of overall experience in architecting and building data and analytics solutions, including Azure Data platform implementation.

2. Skills

Proven experience in overseeing the linking of cross-functional applications between disparate business units and systems.

Deep understanding of ETL, reporting, data modeling concepts and data warehouse architecture.

Experienced in analysis, design, data modelling and effort estimation.

3. Tools and Technologies

Experience with relational databases, such as SAP HANA, Oracle, SQL Server, or MySQL, and non-relational databases, such as MongoDB or Cassandra.

Proficiency in SQL, python, and data analysis tools.

4. Leadership and Communication

Strong leadership and communication skills, with the ability to collaborate with cross-functional teams and provide technical guidance to the data architecture team.

Experience with change management with respect to people, processes, and technologies.

5. Education

Bachelor's degree in Computer Science, Information Technology, or related field.

Preferred Qualifications:

Experience with AI/ML solutions.

Experience with data archival and data retention across the organization.

Experience with data governance and regulatory compliance.

What We Offer:

Competitive salary and benefits package.

Opportunities for professional growth and development.

Collaborative and dynamic work environment.

How to Apply:

Please submit your resume and cover letter to [insert contact information].

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