Remote (881) Data Architect

Description:

• As a Data Architect, you will lead the data platform selection and architecture design for one of our clients.
• This role involves evaluating and selecting the most suitable Data Lake and Analytics platform from leading cloud providers.
• You will design an enterprise data platform that maximizes data utility and operational efficiency.
• The ideal candidate will excel in architectural design and be hands-on, capable of executing the design and leading the team through changes effectively.
• You will lead the selection process of the optimal Data Lake and Analytics solution that aligns with customer business needs.
• Collaborate to identify top key requirements for platform selection.
• Develop a comprehensive comparison (battlecard) of potential Data Lake and Analytics platforms.
• Architect and design the enterprise data platform to ensure seamless integration and interoperability with existing systems.
• Guide and mentor a team of data developers, ensuring technical excellence and efficient implementation of the selected platform.
• Participate in the configuration and setup of the chosen cloud environment.

Requirements:

• A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
• You must have 5+ years of experience in designing, configuring, and implementing major data platforms, including hands-on experience with at least two of the following: Salesforce DataCloud, Google BigQuery, AWS RedShift/Aurora, Snowflake, Azure Synapse into production environments.
• You should have 5+ years of experience working with data migration projects involving mainstream databases (e.g., SQL Server, Oracle, MySQL, DB2).
• 5+ years of experience in data modeling for Data Warehouses or Data Lakes, building efficient data pipelines, and experience in the automation of data pipelines is necessary.
• Strong knowledge of data warehousing concepts, including star and snowflake schemas, dimensions, facts, slowly changing dimensions, and data marts is required.
• You need 3+ years of experience with Python, particularly in data manipulation, scripting, and integration tasks.
• 3+ years of experience with data security and privacy compliance, with a deep understanding of data security and privacy best practices is essential.
• Experience with major cloud technologies (AWS, GCP, Azure) is required.
• You should have experience with data governance and establishing single sources of truth for enterprise data.
• Proven experience in leading a technical team of data engineers, providing guidance, mentorship, and ensuring successful Enterprise Data project delivery is necessary.
• You must be an expert in SQL and data modeling for complex enterprise environments.
• Real experience implementing and managing data catalogs to enhance data discoverability and metadata management is required.
• Proficiency in handling various data types (structured, semi-structured, unstructured, JSON, AVRO) is necessary.
• Experience in source code control using Git is required.
• Understanding of diverse Data & Analytics architectures, including Data Lake, Data Warehouse, and Data Mesh is essential.
• An advanced English level is required for this role as you will work with US clients, and effective communication in English is essential to deliver the best solutions to our clients.

Benefits:

• You will receive USD salary compensation.
• The position offers 100% remote work, with the option to visit coworking spaces across LATAM to expand your professional network.
• Paid time off according to your country’s law will be provided without affecting your monthly salary.
• You will have your country’s national holidays off to celebrate important events and traditions with your loved ones.
• Sick or medical leave will be available when needed to ensure your health and well-being.
• A refundable annual credit will be provided for you to spend on your favorite perks.
• Teambuilding activities such as coffee breaks, tech talks, and after-work gatherings will be organized to foster community.
• You will receive a day off during your birthday week to enjoy with family and friends.