Data Architecture: Support the implementation of real-time, near real-time, 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 automated frameworks for integrating data from various security sources into the security data lake, and develop data transformation frameworks to move data between raw, trusted, and curated data layers.

Coding and Documentation: Contribute to improving the quality of the team's codebase by producing high-quality code and documentation of data platform architecture, processes, and best practices.

Automation and DevOps: Implement automation and DevOps practices to streamline deployment, configuration, and management of data platform components.

Collaboration and Communication: Collaborate effectively with team members and actively participate in resolving issues related to data platform operations, providing support as needed.

Proficiency in SQL and programming languages like Python

Familiarity with ETL and ELT frameworks and orchestration tools like Airflow and DBT

Experience with cloud platforms such as Azure, Databricks, or similar technologies

Understanding of data lakes, data warehouses, and distributed systems like Event Hub/Kafka, Spark, etc.

Familiarity with Terraform and CI/CD tools such as GitHub Actions and Jenkins

Strong communication skills, both written and verbal, to engage effectively with the team and stakeholders.

Strong problem-solving skills.