Cloud Data Platform Engineer - Assistant Vice President

$100,000 - $142,250/Yr

Deutsche Bank - Cary, NC

Full-time - Mid Level

Remote - Cary, NC

Credit Intermediation and Related Activities

About the position

The Cloud Data Platform Engineer at Deutsche Bank is responsible for designing, implementing, and maintaining the infrastructure and tools necessary for a cloud-based data platform. This role involves collaboration with data engineers, analysts, and cross-functional teams to ensure the platform meets organizational needs and supports data-driven initiatives. The position emphasizes a hands-on engineering culture and offers opportunities for professional development within a flexible working environment.

Responsibilities

• Design, implement, and maintain scalable and reliable data infrastructure solutions on Google Cloud Platform.
• Develop and manage data pipelines to ingest, process, and store data from various sources into the cloud data platform.
• Optimize data storage and retrieval processes for performance, scalability, and cost-effectiveness.
• Collaborate with data engineers, data scientists, and analysts to understand their requirements and provide effective solutions.
• Implement and maintain data governance and security measures to ensure data confidentiality, integrity, and availability.
• Monitor, troubleshoot, and ensure overall observability of data platform issues, ensuring solution resiliency and high availability.
• Stay updated with the latest cloud technologies and recommend improvements to data platform architecture and processes.
• Gather requirements from stakeholders, prioritize tasks, and deliver projects on time and within budget.

Requirements

• Moderate experience in data engineering, cloud engineering, or a related field.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with Google Cloud Platform.
• Familiarity with database systems such as Hive, Impala, PostgreSQL, or NoSQL databases.
• Hands-on experience with data pipeline observability tools such as Apache Airflow or Luigi.
• Knowledge of data governance and security best practices.

Nice-to-haves

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Bachelor's degree or equivalent in Computer Science, Engineering, or a related field.

Benefits

• Diverse and inclusive environment that embraces change, innovation, and collaboration.
• Hybrid working model with up to 60% work from home.
• Generous vacation, personal and volunteer days.
• Commitment to Corporate Social Responsibility.
• Access to Employee Resource Groups for community engagement.
• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits.