The cleaned title from the string Data Engineering - Lead is Lead Data Engineer .

As a Data Engineering Lead at Annalect, you will play a crucial role in our technology team by constructing data pipelines and refining data set processes. We are seeking individuals who share our enthusiasm for technology, design, development, and data, with a desire to blend these disciplines to create innovative solutions. Leading teams within the Annalect Engineering Team, you will engage in technical architecture, software product design and development, as well as the exploration of new technical solutions. Your contributions will be instrumental in advancing the vision of data engineering projects, enhancing standards, and fostering high-performance, collaborative teams. Your primary responsibilities will include developing and executing customized Google Cloud solutions to meet clients" specific needs. You will design, deploy, and manage scalable and dependable Google Cloud architectures, utilizing various Google Cloud services such as BigQuery, Firestore, DataForm, Cloud Composer, Data Flow, and Cloud Run. Leveraging tools like Python, Git, Terraform, and Docker, you will optimize client applications, services, and infrastructures. Additionally, you will integrate DevOps practices to streamline software development, deployment, and monitoring, ensuring that technical solutions align with the business objectives in collaboration with the Google Cloud Consultant. Staying abreast of the latest Google Cloud technologies and industry best practices will be essential. In addition to technical proficiency, soft skills play a vital role in this role. You must possess the ability to communicate complex technical concepts clearly to non-technical stakeholders, collaborate effectively with diverse teams, adapt quickly to evolving client needs, offer innovative solutions to challenges, and demonstrate a commitment to continuous learning by staying updated on Google Cloud developments and trends. Ideally, you should have experience with at least one object-oriented programming language, particularly Python, as well as familiarity with SQL and NoSQL databases. Knowledge of CI/CD tools and their integration with cloud platforms is essential, with optional exposure to Kubernetes, container orchestration, and Infrastructure as Code (IaC) tools like Terraform. A degree in Computer Science or Engineering, or equivalent professional experience, is required, along with a solid understanding of Agile methodologies and experience in collaborating with global teams and managing offshore resources.,