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Senior Manager, Data Engineering - Horizon3 Labs



Data Science
Toronto, ON, Canada
Posted on Monday, February 5, 2024

Who You Are and What You'll Do

The Senior Manager, Data Engineering will lead and manage the overall Horizon3 Labs data assets, partnering with global Data and Architecture teams and operating as integral part of Horizon3 Labs hybrid structure, focused on successfully delivering on H3L initiatives.

As a member of the Horizon3 Labs leadership team, the Senior Manager, Data Engineering role’s main scope is to closely collaborate with and foster strategic relationships with D&A global data and architecture teams and lead the design and implementation of all data assets and services related to H3L innovation initiatives. Additionally, you will organize, guide and align multiple project sub-teams and competing stakeholders, toward a common goal with clear timelines for delivery. The Senior Manager, Data Engineering will attain a detailed understanding of the ‘end to end’ scope of the H3L plan and will be at the heart of data and architecture decision making and execution. This role requires the ability to work with and influence senior stakeholders in both business and D&A/Uniops space.

  • Design, develop and implement sustainable future fit engineering and architecture solutions supporting the roadmap and successful delivery of H3L innovation projects and initiatives.

  • Design, develop solutions ensuring ease of application support by DevOps by designing both technical and process aspects.

  • Drive excellence in data engineering processes for intelligent data solutions across data ingestion/data pipeline frameworks, intelligent design & harmonisation, data warehouse & data lake architectures, cognitive computing, and cloud services within the scope and operating model of H3L.

  • Foster strong partnerships with AI practitioners, data science, tech and governance teams within H3L as well as enterprise & solution architects and other stakeholders to understand data needs and processes and provide data solutions that drive successful delivery of AI innovation use cases.

  • Partner with Microsoft, Databricks and other technology vendors managing vendor relationships for data-related services and solutions to meet H3L needs.

  • Enforce adoption of brilliant basics – architecture design, data design and modelling, data provisioning, cost optimisation, security and other best practices through H3L delivery teams and within the data engineering function.

  • Nurture a high-performing data engineering team through mentoring, training, and career development, fostering a collaborative and positive work environment that encourages growth and innovation.

  • Drive adherence to D&A strategy and best practices across Unilever

What You'll Need to Succeed

  • Graduate Degree in a technical field (Engineering, Computer Science, Statistics), Masters/PHD an asset.

  • 7+ years of experience in building data engineering / architectures solutions to meet the long-term business objectives at scale, with the agility to flex to deliver urgent requirements.

  • Hands on experience in data architecture, design, implementation, and design of modern Data & AI Solutions (i.e. new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools)

  • Stakeholder management in a matrix organization, and partnership with exec leaders of technology vendors, influencing product roadmaps.

  • Detailed knowledge of current and emerging analytics, AI, data, and technology trends, delivering leading edge capabilities whilst managing quality, complexity, total cost of ownership, security, risk and maintainability.

  • Strong knowledge of the data lifecycle management & design patterns

  • Working knowledge of Azure stack, Databricks, SQL and Python.

  • Understanding of Big data framework

  • Working knowledge of Spark Framework

  • Working knowledge of Data Modelling (entity, dimensional and Graph type modelling)

  • Ability to influence Tech Product roadmaps.

  • People leadership and talent development experience.

  • Agile methodology and practice


Unilever Canada is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, marital status, family status, disability, genetic characteristics, and a conviction for which a pardon has been granted.

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at Please note: These lines are reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.

Unilever Canada est une organisation engagé à la diversité et à l'inclusion pour stimuler nos résultats d'affaires et créer un meilleur avenir chaque jour pour nos employés, les consommateurs globaux, les partenaires et les communautés. Nous croyons qu'un effectif diversifiée nous permet de faire correspondre nos ambitions de croissance et de stimuler l'inclusion dans l'entreprise. Tous les candidats qualifiés recevront la considération pour un emploi sans égard à la race, la couleur, la religion, le sexe, l'orientation sexuelle, l'identité ou l'expression de genre, l'âge, l'origine nationale ou ethnique, l'état matrimonial, la situation familiale, l'invalidité, les caractéristiques génétique, et une condamnation pour laquelle un pardon a été accordée.

Si vous êtes une personne handicapée qui a besoin d'aide à tout moment au cours de notre processus de recrutement, veuillez communiquer avec nous au Veuillez noter: ces lignes sont réservées aux personnes handicapées ayant besoin d'aide et ne sont pas un moyen d'enquêter sur les postes.