The Data Platform Engineering Manager will lead a team to develop and optimize cyber data infrastructure, focusing on data architecture, integration, security, and automation.
About this position
As the Data Platform Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of our self-served cyber data infrastructure. You will lead technical decisions and be responsible for a team of data platform engineers to provide a reliable and robust data platform, enabling seamless acquisition, storage, processing and analysis of security data for operational, analytics, machine learning and Gen AI purposes. The data platform lies at the heart of our security detection strategy, serving wider security teams.
The impact you'll make:
- Data Architecture: Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.
- Data Integration and Transformation: Implement and manage the automated frameworks for integrating data from various security sources into the security lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers.
- 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 platform components.
Technology Stack (Methodologies & Tools):
- 7+ years of professional experience in relevant experience as an Engineering Manager, leading teams and managing data projects at scale
- Solid programming experience with programming languages like Python or Java along with proficiency in SQL
- Experience working with cloud platforms (e.g., Azure) and big data technologies like Spark, Flink etc.,
- Solid grasp of Kubernetes, CI/CD and Terraform
- Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow
- Hiring, developing, and retaining cyber data platform talent
- Ability to deliver clear input, guide, empower the team to achieve desired outcomes
- Developing working relationships with various teams and at all levels of seniority to facilitate the adoption of the data infrastructure
- Knowledge of cybersecurity principles and practices
Location:
- London: Hybrid model working on-site 2-3 days per week.
What We'll Offer You In Return:
- A highly competitive compensation package.
- Medical insurance.
- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to form part of an amazing, multicultural community of tech experts.
Come and join our #ParserCommunity
https://parserdigital.com/
Top Skills
Airflow
Azure
Ci/Cd
Flink
Java
Kubernetes
Python
Spark
SQL
Terraform
Parser London, England Office
Orion House, 5 Upper St Martin's Ln, London, United Kingdom, WC2H 9EA
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