Data Architect

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 skills