Data Architect – Program Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Engages in the planning, definition, and high-level design of data solutions, exploring various alternatives and assessing new technologies.

• Develops and sustains scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management approach.

• Designs and executes ETL pipelines utilizing AWS services (such as S3, Redshift, Glue, Lake Formation, Lambda) to meet data domain requirements and facilitate self-service analytics.

• Collaborates with data domain teams to design and launch domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions.

• Establishes and enforces data governance practices, ensuring compliance with data privacy, access controls, and lineage requirements across the organization’s data assets.

• Maintains a detailed data catalog and governance tools, automating workflows to ensure data integrity and discoverability across all domains.

• Leads the implementation and ongoing support of data mesh architecture, ensuring seamless integration and data flow across multiple domains.

• Ensures the availability and reliability of the organization’s Data Mesh software, overseeing operations and maintenance of the framework.

• Provides guidance and leadership on fostering the cultural adoption of data mesh principles, including organizational training initiatives for data stewards and end-users.

• Communicates effectively with stakeholders to align technical data architecture with business objectives, ensuring sustained support for analytics, insights, and innovation.

• Has experience working within an Agile environment utilizing Scrum, Kanban, Jira, Confluence, and SAFe.

• Delivers team-specific training as required.

⛳️ Requirements

• Data Architecture Expertise: A minimum of eight (8) years of experience in designing and implementing data architectures, including extensive data environments such as data lakes, data warehouses, and data mesh frameworks.

• Cloud Platform Experience: At least five (5) years of experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud), particularly for data storage, processing, and analytics.

• Leadership and Team Management: Proven two (2) years of experience leading and mentoring data engineering teams, promoting collaboration, and ensuring successful project execution.

• Educational Background: A bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related technical field is preferred.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and certifications.

• Flexible work hours and remote working options.

• Generous paid time off and holiday leave.

• Collaborative and innovative work environment.