Data Architect

Summary

Join Nearsure's LATAM team as a Data Architect and lead the data platform selection and architecture design for a US client. You will evaluate and select suitable Data Lake and Analytics platforms from leading cloud providers, design an enterprise data platform, and guide a team of data developers. This 100% remote role offers a competitive salary, paid time off, national holidays, sick leave, a refundable annual credit, teambuilding activities, and a birthday day off. Nearsure prioritizes work-life balance and offers support through its People Care team. The ideal candidate will have extensive experience in data architecture, platform implementation, and team leadership.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 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
• 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. Experience in the automation of data pipelines. Strong knowledge of data warehousing concepts, including star and snowflake schemas, dimensions, facts, slowly changing dimensions, and data marts
• 3+ Years of experience with Python, particularly in data manipulation, scripting, and integration tasks
• 3+ Years of experience with data security and privacy compliance. Deep understanding of data security and privacy best practices
• Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons

Responsibilities

• 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

Preferred Qualifications

• Experience with major cloud technologies (AWS, GCP, Azure)
• 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, and mentorship, and ensuring successful Enterprise Data project delivery
• Expert in SQL and data modeling for complex enterprise environments
• Real experience implementing and managing data catalogs to enhance data discoverability and metadata management
• Proficiency in handling various data types (structured, semi-structured, unstructured, JSON, AVRO)
• Experience in source code control using Git
• Understanding of diverse Data & Analytics architectures, including Data Lake, Data Warehouse, and Data Mesh

Benefits

• USD 💲 Salary compensation
• 100% remote work 🏢 but if you feel like connecting with people you can visit coworking spaces all over LATAM allowing you to expand your professional network
• Paid time off according to your country’s law without affecting your monthly salary to ensure that you have plenty of time to rest and recharge
• Your country’s national holidays 🌴 allow you to celebrate important events and traditions with your loved ones
• Sick or medical leave 😷 when needed so that you can take a day off to take care of your health, and have wellbeing without worrying about work
• Refundable annual credit 💸 for you to spend on your favorite perks
• Teambuilding activities 🤜🤛 such as coffee breaks, tech talks, and after-work gatherings with your Nearsure colleagues, to feel close to our community
• A day off during your birthday week 🥳🎂 to enjoy with your family and friends, ensuring that you have a chance to make memories on your special day