CONFIDENTIAL - Manager, Data & AI Foundations

Insight Global; Toronto; Vor Ort; CAD 140.000 - 190.000; Vollzeit

Zusammenfassung

Insight Global is seeking a hands-on Data Engineering leader with strong GCP experience who will guide a multidisciplinary team across Data Engineering, AI/ML, automation and visualization. You will advance engineering practices while moving into people leadership and building scalable data platforms.

The role emphasizes collaboration with IT and product stakeholders, shaping cloud-native solutions and driving engineering excellence in an enterprise environment.

Qualifikationen

• 7+ years in Data/Software Engineering with enterprise-scale data solutions
• 4–5+ years hands-on GCP experience designing cloud-native data platforms
• 5+ years hands-on Data Engineering, building complex data pipelines and ETL/ELT frameworks
• 1-2+ years technical leadership leading data or software teams
• Experience with Agile delivery and JIRA

Aufgaben

• Lead Data Engineering, AI/ML, automation/RPA, visualization and IT teams
• Establish stronger Agile practices and engineering ways of working
• Mentor engineers and drive coding standards and reviews
• Translate complex business requirements into scalable data architectures

Kenntnisse

GCP

Data Engineering

Leadership

CI/CD

Agile

ETL/ELT

Data Modeling

APIs

Cloud Architecture

Ausbildung

Bachelor's degree in Computer Science

Tools

Git

JIRA

UiPath

Power Automate

APIs

Jobbeschreibung

Job Description

Insight Global is seeking a hands‑on Data Engineering leader with strong GCP experience who is ready to continue growing as a people manager. The ideal candidate has spent a meaningful portion of their career doing complex development/data engineering work and has only recently moved into leadership.This person will lead a multidisciplinary technical team across Data Engineering, AI/ML, automation/RPA, visualization and IT, while helping establish stronger Agile practices and engineering ways of working.

Skills and Requirements

7+ years of overall Data Engineering / Software Engineering experience, with a strong focus on enterprise-scale data solutions4–5+ years of hands‑on GCP / Google Cloud experience, ideally designing and building cloud‑native data platforms and solutions5+ years of hands‑on Data Engineering experience, including building complex data pipelines, ETL/ELT frameworks, integrations and data platformsStrong experience with data architecture, ingestion, transformation, orchestration, data quality and performance optimizationRecent hands‑on technical experience, ideally within the last 1–2 years, with the ability to review code, troubleshoot issues and make engineering/architecture decisions1-2+ years of technical leadership or people leadership experience, leading Data Engineering, Software Engineering or similar technical teamsStrong understanding of software engineering best practices, including Git/version control, CI/CD, automated testing, code reviews, branching strategies and release managementExperience working within Agile delivery environments, including sprint planning, backlog management and JIRAExperience translating complex business requirements into technical architecture and scalable engineering solutionsStrong communication skills with the ability to work across Data Engineering, Software Engineering, Architecture, Product and business stakeholdersCollaborative, humble and flexible leadership style with experience mentoring engineers, establishing technical standards and driving engineering best practicesAutomation experience - ideally with UiPath and/or Microsoft Power AutomateAI / ML exposure, particularly integrating AI/ML capabilities into enterprise data platforms or workflowsdata modeling experience, including semantic layers, dimensional modeling and enterprise data modelsExperience with BI / visualization platforms and supporting enterprise reporting and analytics use casesExperience with data governance, security, access controls and data quality frameworksExperience building or integrating APIs, microservices and cloud-based system integrations

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].