Principal Data System Architect

About the Role

Lead the design and evolution of our core data systems, playing a critical role in shaping our data engineering and monetization strategies. This is an exciting opportunity for a visionary architect to drive significant impact across the organization.

Responsibilities

• Define, develop, and maintain the overall data architecture strategy and roadmap.
• Design and implement scalable, reliable, and secure data pipelines and platforms for data ingestion, processing, storage, and access.
• Collaborate closely with data engineering, product, and business teams to translate requirements into robust architectural solutions.
• Ensure data quality, governance, security, and compliance standards are met across all data systems.
• Provide technical leadership and mentorship to data engineering teams, promoting best practices and innovation.

Requirements

• Extensive experience as a Data System Architect, Principal Data Engineer, or similar leadership role.
• Deep expertise in designing and implementing large-scale data warehousing, data lake, and streaming data architectures.
• Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and their associated data services.
• Strong command of big data technologies (e.g., Spark, Kafka, Hadoop, Flink) and distributed systems.
• Solid understanding of data modeling, ETL/ELT processes, and data governance principles.
• Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Nice-to-Haves

• Experience with data monetization strategies and building data products.
• Familiarity with machine learning data pipelines and MLOps principles.
• Background in a remote-first work environment.
• Relevant industry certifications (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer).