Lead the technical direction and architecture for custom software solutions, guiding development teams from design through to successful delivery. Establish robust development standards, ensuring all code is of high quality, scalable, and performs optimally to meet critical business objectives. This role involves deep engagement with data engineering principles and modern data architectures like data mesh, while leveraging tools such as Databricks.

As an Engineering Lead, you will be instrumental in defining the technical vision and architectural framework for bespoke software projects. Your leadership will guide teams through the complete software development lifecycle, from initial concepts to final deployment. A key responsibility is to guarantee that all delivered solutions adhere to stringent standards of quality, scalability, and performance, directly aligning with the organization's strategic goals. Collaborative efforts with various stakeholders will ensure smooth project progression and effective problem resolution, fostering a culture of innovation and continuous improvement.

- Spearhead the technical vision and architectural design of custom software solutions. - Lead and mentor engineering teams throughout the entire development lifecycle. - Define and enforce development standards to ensure code quality, scalability, and performance. - Drive the adoption and implementation of data engineering tools and data mesh principles. - Actively participate in technical discussions and provide expert solutions. - Coordinate with cross-functional teams to align software solutions with business needs. - Monitor project progress, implement best practices, and ensure high-quality deliverables.

- Minimum 3 years of experience in Data Engineering. - Proven proficiency in Data Engineering, Databricks, and data mesh principles. - Strong experience in designing and implementing scalable data pipelines and architectures. - Expertise in data integration, transformation, and storage solutions. - Familiarity with cloud platforms and big data technologies. - Ability to optimize data workflows for performance and reliability. - Experience with data governance and security best practices. - 15 years of full-time education is a mandatory requirement.