Lead Data Technical Architect

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

📋 Description

• Create and implement technical components as part of comprehensive data solutions.

• Collaborate with Solution Architects and Customer Architects to seamlessly integrate components into high-quality data solutions.

• Execute both functional and non-functional designs.

• Reach consensus on functional and non-functional designs with customer architects, including estimated efforts, technical implications, and complexity.

• Establish technical standards and collaborate with engineers to ensure adherence to these standards.

• Oversee and estimate timelines related to the delivery of technical components.

• Contribute to or lead the technical solution design during the pre-sales process.

• Play a significant role in the data analysis community and enhance the overall data and analytics capabilities.

• Manage, mentor, and develop a small team of staff.

• Oversee employee performance and assist in their career growth.

• Provide guidance and leadership to the team while addressing complex challenges.

⛳️ Requirements

• Proven experience in technical ownership of a component, sub-system, or product, involving architecture, estimation, product planning, and story creation.

• Strong proficiency in client interaction, including the ability to communicate technical decisions to non-technical audiences.

• Experience in applying standards for design, development, and operational readiness.

• Demonstrated experience in designing, building, and deploying modern, distributed data-intensive applications.

• Proficiency in Java, Scala, or Python, with comfort across multiple programming paradigms, including functional and object-oriented programming.

• Experience in deploying modern data storage solutions such as object stores, document stores, key-value stores, search databases, RDBMS, and graph databases.

• Software development experience with data-processing platforms from providers like AWS, Azure, GCP, and Databricks.

• Familiarity with data integration techniques such as messaging, queuing, change data capture, or data virtualization.

• Comfortable with data warehousing methods and techniques.

• Actively engages in sharing insights and perspectives on data practices.

• Holds AWS, Azure, or GCP Certification in Data Services.

• Expertise in continuous improvement and contributing insights on data best practices.

• Involvement in development and/or technology communities.

🏝️ Benefits

• People-first culture.

• Support for growth and career development.

• Commitment to diversity, equity, and inclusion.

• Accommodations and adjustments in the recruitment process.

• Tailored support throughout the recruitment process.