We are on a mission to make communication smarter, safer, and more efficient while building trust globally. We help over 400 million users each month stay protected from fraud, harassment, and scams. Our Infrastructure team plays a key role in enabling data-driven decision-making by building a scalable, high-performance data platform.

Must Have Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, or a related field

12+ years of experience in data architecture, data engineering, or related roles

Proven expertise in designing and implementing scalable data architecture in large-scale environments

Strong hands-on experience with cloud platforms (AWS, Azure, or Google Cloud)

Proficiency in database technologies (SQL, NoSQL) and big data frameworks (Hadoop, Spark)

Experience with programming languages such as Python or Scala

Deep understanding of data governance, security, and compliance best practices

Ability to lead and influence data infrastructure strategy and implementation

Strong problem-solving skills and a track record of optimizing data workflows

Excellent collaboration and communication skills to work across multiple teams

Nice to Have Qualifications

Experience with DevOps practices, including CI/CD, infrastructure as code, and automation

Understanding of architecting data solutions that support machine learning and AI applications

Knowledge of emerging trends in data architecture and cloud-based data solutions