Cyber Data Solutions Architect
3 weeks ago
We are seeking a skilled Cyber Data Solutions Architect to join our team at Tesco. In this role, you will be responsible for designing and delivering scalable data lake and data warehouse solutions that empower our security users to draw insights and develop reporting capabilities.
About the RoleAs a key member of our Cyber Analytics team, you will lead data modelling and architectural decisions, guide technical direction, and mentor the analytics engineering team to deliver high-quality data products.
Responsibilities:- Technical Leadership: Design, develop, and deliver cyber data lake and data warehouse solutions, as well as analytics frameworks and processes to provide quality data products for various cybersecurity use cases.
- Analytics Architecture: Design, build, and manage ETLs and data quality processes to transform source data into trusted and curated data products, as well as implement a Data as a Service (DaaS) model to serve various cybersecurity use cases.
- Coding and Documentation: Drive standards for producing high-quality code, conduct thorough peer reviews, and proactively provide constructive feedback to other team members on their code and lead documentation as a service approach for data models and ETLs documentation.
- Data Security and Compliance: Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations.
- Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data lake and data warehouse solutions.
- Proven experience in leading teams to deliver robust data models, analytics frameworks, and processes, and providing technical guidance for optimal data product solutions.
- Solid programming experience with Python/PySpark, along with proficiency in SQL.
- Experience building data lake and data warehouse solutions on cloud services like Databricks on Azure with a Data as a Service (DaaS) model.
- Solid grasp of data lake and data warehouse concepts, analytics architectural patterns, coding standards, code reviews, version control, and CI/CD practices.
- Expertise in ETL and ELT frameworks for large-scale real-time and batch data processing, with hands-on experience in orchestration tools like Airflow and dbt.
- Experience implementing enterprise BI tools like Tableau for visualization and dashboard reporting.
- Familiarity with distributed processing and stream processing frameworks.
- Ability to provide clear input, guide, opportunities to help engineers develop and advance.
- Knowledge of cybersecurity principles and practices.
- Estimated salary range: £80,000 - £110,000 per year, depending on experience.
- A competitive bonus scheme of up to 20% of base salary.
- Holiday starting at 25 days plus a personal day (plus Bank holidays).
- Private medical insurance.
- 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay.
- 4 weeks fully paid paternity leave.
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
We are a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate, and innovate.
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