Description
We are seeking a Senior Data Lead to play a critical role in building cloud-native, data-driven platforms that power advanced analytics, AI, and smarter banking outcomes.
The purpose of this role is to build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure.
Key responsibilities include:
- Building and maintaining data architectures and pipelines that enable the transfer and processing of durable, complete, and consistent data
- Designing and implementing data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
- Developing processing and analysis algorithms fit for the intended data complexity and volumes
- Collaborating with data scientists to build and deploy machine learning models
As a Senior Data Lead, you will be expected to:
- Contribute to or set strategy, drive requirements, and make recommendations for change
- Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures
- Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work of your team
- Collaborate with other areas of work to provide business-aligned support areas
- Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives
Requirements:
- Experience in leading enterprise data architecture decisions, defining standards and reference architectures, and balancing performance, resilience
- Deep expertise in cloud data architecture and distributed computing paradigms, with extensive hands-on background in AWS data platforms, including Glue, Lambda, S3, Redshift, Athena, and Databricks
- Advanced knowledge of data modelling techniques, including dimensional modelling, schema evolution, and design patterns for analytics, reporting, and downstream consumption
- Demonstrated ability to define and govern data architecture standards, reference architectures, and engineering frameworks across multiple teams
- Advanced proficiency in Python, PySpark, and SQL
Preferred skills:
- Experience leading DevOps and CI/CD strategies for data platforms using tools such as Jenkins and GitLab
- Considerable knowledge of reporting and analytics toolset (Power BI, Tableau)
- Experience supporting or enabling machine learning and AI workloads
- Good understanding of cloud security, IAM, data access controls, and platform governance
This role offers a salary range of Kč 1,884,000.00 - Kč 2,496,000.00 per year.