Senior Principal Platform Engineer, Data Architect

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Written by AI from the job title and company, not by Coupa Software, so some details may not match this job. The employer's own page has the real description.

Overview

As a Senior Principal Platform Engineer, Data Architect at Coupa Software, you will play a crucial role in designing and implementing high-performance, scalable data architectures that support our platform's complex and evolving requirements. You will collaborate with cross-functional teams to translate business needs into innovative technical solutions, ensuring data integrity, security, and scalability. This position demands a deep understanding of data lifecycle management and cloud-based technologies, as well as strong leadership skills to guide technical teams in the execution of projects.

Job Responsibilities

• Design and implement efficient, scalable, and resilient data architectures that align with business goals.
• Lead architectural discussions and decisions around data modeling, integration, and storage solutions.
• Collaborate with software engineers, data scientists, and product managers to create data-driven solutions.
• Monitor and optimize existing data systems for performance and reliability.
• Evaluate and integrate new technologies to enhance data architecture capabilities.
• Ensure compliance with data governance, security, and privacy regulations.
• Mentor junior engineers and foster a culture of technical excellence within the team.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 10+ years of experience in data architecture, platform engineering, or a related area.
• Expertise in cloud data services (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
• Strong proficiency in SQL and NoSQL databases.
• Experience with data modeling tools and data integration platforms.
• Demonstrated ability in leading and mentoring technical teams.
• Excellent problem-solving skills and the ability to adapt to new technologies and methodologies.

Technologies & Tools

In this position, you will work with a variety of technologies and tools including relational and NoSQL databases, cloud platforms such as AWS and Azure, data processing frameworks like Apache Spark, and data integration tools such as Talend or Apache Kafka. Familiarity with data orchestration tools like Apache Airflow and container orchestration technologies such as Kubernetes will also be advantageous in achieving the outlined responsibilities.

Ideal Candidates

The ideal candidate for this role possesses a blend of technical expertise and strategic vision, with a passion for solving complex data challenges. They should demonstrate exceptional analytical skills, strong communication abilities, and the capacity to lead diverse teams through innovative projects. A collaborative spirit and a continuous improvement mindset will ensure their success within a rapidly evolving technological landscape.