Databricks Manager

As a Databricks Manager, you will lead the data engineering, architecture and data science teams building and scaling the enterprise data platform for a leading company in the energy sector. Bridge technical delivery and business strategy in a fully remote leadership role.

Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply.

We are seeking an experienced Data Manager to lead our data engineering, architecture and data science teams in building and scaling the enterprise data platform on Databricks for a leading energy sector company. In this role, you will oversee the end-to-end lifecycle of our data products, from ingestion and storage to analytics and AI enablement. You will manage a portfolio of cross-functional data projects, ensure strict data governance and quality standards, and drive the adoption of scalable architectures (such as the Medallion architecture) to deliver high-value business insights.

Platform Strategy & Architecture

● Lead the design, implementation and optimization of the enterprise data platform using Databricks, Delta Lake and Apache Iceberg.

● Architect and maintain a scalable Medallion data architecture (Bronze, Silver, Gold layers) to ensure data is clean, reliable and optimized for downstream consumption by BI tools and AI models.

● Guide the migration or integration of legacy data warehouses (e.g., AWS Redshift, Snowflake) into a unified Databricks Lakehouse ecosystem.

Team & Portfolio Leadership

● Manage, mentor and scale a high-performing team of data engineers, data scientists and analysts.

● Oversee a diverse portfolio of concurrent data and AI projects, ensuring delivery on time, within scope and aligned with business objectives.

● Act as the bridge between technical teams and executive stakeholders, translating complex data initiatives into clear business value.

Data Governance & Quality

● Implement and enforce robust data governance, security and access controls using Databricks Unity Catalog.

● Establish enterprise-wide data quality frameworks and Master Data Management (MDM) practices to ensure a single source of truth across the organization.

● Ensure compliance with regional data privacy regulations (e.g., GDPR) within highly regulated enterprise environments.

Advanced Analytics & AI Enablement

● Provide the foundational data layer required for advanced machine learning, Generative AI applications and autonomous agent frameworks.

● Collaborate with AI engineering leads to implement AI observability and monitor model performance in production.

● Drive the rapid prototyping of data products and internal tools using frameworks like Python and Streamlit.

● 8+ years of experience in data engineering, data architecture or data science, with at least 3+ years in a managerial or leadership role overseeing technical teams.

● Deep, hands-on understanding of the Databricks Data Intelligence Platform, Spark and Delta Lake.

● Strong proficiency in SQL and Python.

● Proven experience designing semantic layers and optimizing data pipelines for business intelligence (e.g., Power BI, Tableau).

● Extensive experience with data governance frameworks, MDM and implementing granular access controls (Unity Catalog).

● Track record of successfully managing complex, multi-stakeholder data projects in Agile environments.

● Experience integrating Databricks with major cloud service providers (AWS, Azure or GCP).

● Familiarity with large language models (LLMs), Agentic AI architectures and deploying GenAI solutions in corporate settings.

● Previous experience migrating enterprise data workloads from traditional data warehouses to a Lakehouse architecture.

● Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology or a related field.

● Databricks Certified Data Engineer Professional.

● PMP or Certified Scrum Master (CSM), a plus for the leadership component.

Fully remote position.

Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. This position supports a leading company in the energy sector; for confidentiality reasons the client's name is not disclosed at this stage of the process.

Equal opportunity. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by applicable law.

À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant. 

À savoir avant de postuler

• Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
• Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
• L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
• Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
• Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
• Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.