OUR SOLUTION
At Demyst, we're transforming the way enterprises manage data, eliminating key challenges and driving significant improvements in business outcomes through data workflow automation. Due to growing demand, we're expanding our team and seeking talented individuals to help us scale.
Our platform simplifies workflows, eliminating the need for complicated platforms and expensive consultants. With top-tier security and global reach, we're helping businesses in banking and insurance achieve digital transformation. If you're passionate about data and affecting change, Demyst is the place for you.
THE CHALLENGE
Demyst is seeking a Lead Engineer with a strong data engineering focus to play a pivotal role in delivering our next-generation data platform to leading enterprises across North America. In this role, you will lead a team of data engineers with a primary focus on data integration and solution deployment. You will oversee the development and management of data pipelines, ensuring they are robust, scalable, and reliable. This is an ideal opportunity for a hands-on data engineering leader to apply technical, leadership, and problem-solving skills to deliver high-quality solutions for our clients.
Your role will involve not only technical leadership and mentoring but also actively contributing to coding, architectural decisions, and data engineering strategy. You will guide your team through complex client deployments, from planning to execution, ensuring that data solutions are effectively integrated and aligned with client goals.
Demyst is a remote-first company. The candidate must be based in the United States.
RESPONSIBILITIES
Lead the configuration, deployment, and maintenance of data solutions on the Demyst platform to support client use cases. Supervise and mentor the local and distributed data engineering team, ensuring best practices in data architecture, pipeline development, and deployment. Recruit, train, and evaluate technical talent, fostering a high-performing, collaborative team culture. Contribute hands-on to coding, code reviews, and technical decision-making, ensuring scalability and performance. Design, build, and optimize data pipelines, leveraging tools like Apache Airflow, to automate workflows and manage large datasets effectively. Work closely with clients to advise on data engineering best practices, including data cleansing, transformation, and storage strategies. Implement solutions for data ingestion from various sources, ensuring the consistency, accuracy, and availability of data. Lead critical client projects, managing engineering resources, project timelines, and client engagement. Provide technical guidance and support for complex enterprise data integrations with third-party systems (e.g., AI platforms, data providers, decision engines). Ensure compliance with data governance and security protocols when handling sensitive client data. Develop and maintain documentation for solutions and business processes related to data engineering workflows. Other duties as required.