Data Architect

September 20, 2024

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RoofStacks

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RoofStacks is a versatile organization operating in the global market with a focus on information technology. With its offices located in Turkey and the USA, the company aims to revolutionize user experiences through innovative projects. RoofStacks operates in several areas, including fintech and blockchain services through Roof Money, which enhances traditional financial systems. The company also develops innovative tourism platforms with Roof Travel, offering technological infrastructure for both B2B and B2C markets. Moreover, Roof Games provides gamification solutions by utilizing high-end technology. One of their ambitious projects, GoArt, combines augmented reality and artificial intelligence to create a metaverse platform that intertwines history, tourism, and technology. RoofStacks is dedicated to designing the future and interpreting tomorrow's possibilities today.

Yazılım • Software Engineering • Augmented Reality • Ar-Ge • Turizm Software

201 - 500 employees

Founded 2015

🥽 AR/VR

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• Design and implement scalable, robust, and secure data architectures that support data analytics, machine learning, and business intelligence needs across the organization. • Create and optimize data models (e.g., star schema, snowflake schema) to ensure data is structured for efficient access and analysis. • Lead the architecture of data warehouses, data lakes, and data pipelines, utilizing cloud platforms like AWS (e.g., Redshift, S3, Glue, Lambda). • Ensure that data governance, privacy, and security best practices are followed throughout the data infrastructure. • Collaborate with data scientists, data engineers, and BI teams to design solutions that support video streaming optimization, personalized content recommendations, and location-based analysis. • Develop strategies to manage and process large datasets, including real-time streaming data from user activity, video content performance, and other key metrics. • Evaluate and implement emerging technologies related to data storage, ETL processes, and cloud computing to continuously improve data architecture. • Create and maintain comprehensive documentation of data systems, processes, and architecture. • Mentor and guide other members of the data engineering and architecture team, ensuring that best practices and standards are adhered to.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. • 7+ years of experience in data architecture, data engineering, or related fields. • Proven experience in designing and implementing data architectures for large-scale, data-intensive applications, preferably within the video streaming or entertainment industry. • Strong proficiency with cloud platforms, particularly AWS (e.g., Redshift, Glue, Lambda, S3, Kinesis). • Deep understanding of database management systems (e.g., PostgreSQL, MySQL, NoSQL databases) and data modeling techniques (e.g., star schema, snowflake schema). • Experience with big data technologies such as Hadoop, Spark, Kafka, and other streaming data frameworks. • Expertise in building and managing ETL/ELT pipelines, data lakes, and real-time data streaming architectures. • Familiarity with data governance, data security, and compliance standards such as GDPR. • Strong problem-solving and analytical skills with a focus on creating efficient and scalable solutions. • Excellent communication skills, with the ability to convey technical information to non-technical stakeholders.