Remote Data Architect

Description:

• 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 include designing and implementing scalable, robust, and secure data architectures that support data analytics, machine learning, and business intelligence needs across the organization.
• You will create and optimize data models (e.g., star schema, snowflake schema) to ensure data is structured for efficient access and analysis.
• You will lead the architecture of data warehouses, data lakes, and data pipelines, utilizing cloud platforms like AWS (e.g., Redshift, S3, Glue, Lambda).
• Ensuring that data governance, privacy, and security best practices are followed throughout the data infrastructure is essential.
• You will collaborate with data scientists, data engineers, and BI teams to design solutions that support video streaming optimization, personalized content recommendations, and location-based analysis.
• Developing strategies to manage and process large datasets, including real-time streaming data from user activity, video content performance, and other key metrics is part of your role.
• You will evaluate and implement emerging technologies related to data storage, ETL processes, and cloud computing to continuously improve data architecture.
• Creating and maintaining comprehensive documentation of data systems, processes, and architecture is required.
• You will mentor and guide other members of the data engineering and architecture team, ensuring that best practices and standards are adhered to.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field is required.
• You must have 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, is necessary.
• Strong proficiency with cloud platforms, particularly AWS (e.g., Redshift, Glue, Lambda, S3, Kinesis) is essential.
• A deep understanding of database management systems (e.g., PostgreSQL, MySQL, NoSQL databases) and data modeling techniques (e.g., star schema, snowflake schema) is required.
• Experience with big data technologies such as Hadoop, Spark, Kafka, and other streaming data frameworks is necessary.
• You must have 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 is required.
• Strong problem-solving and analytical skills with a focus on creating efficient and scalable solutions are essential.
• Excellent communication skills, with the ability to convey technical information to non-technical stakeholders, are necessary.

Benefits:

• The position offers the opportunity to work in a dynamic and innovative environment focused on cutting-edge technologies.
• You will be part of a team that is dedicated to creating a difference with the technologies developed.
• The role allows for remote work flexibility, providing a better work-life balance.
• You will have the chance to mentor and guide other team members, enhancing your leadership skills.
• The company supports continuous learning and development, allowing you to stay updated with emerging technologies.
• You will be involved in projects that have a global impact, contributing to the company's aim of becoming a global actor in various technology sectors.