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# Databricks Manager

- **Company:** Cognizant
- **Location:** Alcalá de Henares, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Python (Programming Language), Rapid Prototyping Process, Power BI, Cloud Services, SQL Databases, Systems Integration, Tableau (Software), Enterprise Data Management, Large Language Models, Snowflake, Apache Spark, Deep Learning, Generative AI, Data Layers, Data Lakes, Data Management, Virtual Agents, Streamlit Framework, Data Pipelines, Amazon Redshift, Databricks
- **Published:** August 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

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. **REQUIRED SKILLS & EXPERIENCE** ? 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. **NICE TO HAVE** ? 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

## Description

Inscribirse en esta oferta 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. **STRATEGIC DATA PLATFORM** **TEAM LEADERSHIP** **FULLY REMOTE** **LEARNING & GROWTH** _Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply._ **ABOUT THE ROLE** 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. **KEY RESPONSIBILITIES** **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


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