Data Architect
Job Summary
Job Description
As a Data Architect at Roof Stacks, you'll design and implement scalable, high-performance data architectures supporting business intelligence, machine learning, and video streaming analytics. Key responsibilities include designing data models (star schema, snowflake schema), leading the architecture of data warehouses and data lakes using AWS (Redshift, S3, Glue, Lambda), ensuring data governance and security, collaborating with data scientists and engineers, developing strategies for managing large datasets (including real-time streaming data), and evaluating/implementing new technologies. You will also mentor team members and maintain documentation. This role requires expertise in data modeling, cloud architecture, and big data technologies to deliver personalized content and optimize video streaming.
Must have:
- 7+ years data architecture experience
- AWS proficiency (Redshift, Glue, Lambda, S3)
- Data modeling expertise (star/snowflake)
- Big data technologies (Hadoop, Spark, Kafka)
- ETL/ELT pipeline building
- Data governance and security knowledge
12 skills required
Job Details
As Roof Stacks, we have been carrying out innovative projects since 2015. We aim to become a global actor in Tourism Systems, Extended Reality(AR/VR), Blockchain Technologies, Game Development, and Financial Technology, which are our areas of expertise.
We focus on creating a difference with the technologies we develop and designing the future. In addition to our central office in Ataşehir/İstanbul, we have branches in Antalya and Elazığ in Turkey.
We have strengthened our position in the global market by opening a new office in Austin, USA, which hosts world technology giants from all over the world.
Job Purpose:
As a Data Architect at Roofstacks, you will be responsible for designing and implementing a scalable, high-performance data architecture that supports business intelligence, machine learning, and video streaming analytics. You will ensure that data flows efficiently across the organization and is structured to meet the needs of various teams, including data science, business intelligence, and engineering. Your expertise in data modeling, cloud architecture, and big data technologies will help Roofstacks deliver personalized content and optimize video streaming performance.
Key Responsibilities:
• 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.
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