Data Architect

Onsite

San Mateo, CA

18 months

Responsibilities

• Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities
• Develop roadmaps for data architecture capabilities that align with business objectives and overall technology strategy, influencing engineering, product and cross-functional teams to identify data opportunities and drive impactful business decisions
• Identify and address performance bottlenecks in the data platform, ensuring the system can scale to meet the growing data demands of the business
• Implement data partitioning, sharding, and indexing strategies to optimize query performance and reduce latency
• Ensure the platform is designed for high availability, reliability, and fault tolerance, minimizing downtime and ensuring business continuity
• Develop and enforce best practices for data governance, data security, and data management within the platform

• Implement data cataloging and metadata management tools to improve data discoverability and usability across the organization

Requirements

• 10 years of experience as a cloud-focused data architect
• Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries.
• Expertise in data technologies (Spark, Kafka, RDBMS, NoSQL, Hadoop)
• Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.
• Proficiency in programming languages such as Java or Python for building data applications and automating workflows.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying and managing data services.
• Knowledge of data governance, data quality, and master data management best practices.
• Excellent communication, problem-solving, and collaboration skill