Data Engineering Team Lead

In one sentence Data One group is seeking a hands on team lead who can drive our data engineering team forward. We're looking for a talented and experienced data engineering team lead to oversee the design, development, and deployment of large-scale data pipelines and architectures.What will your job look like?• Design and implement large-scale data pipelines: Design and implement scalable data pipelines that can handle high volumes of data. Work with cross-functional teams to identify data requirements and develop data pipelines that meet business needs.• Lead and manage a team of data engineers:Lead and manage a team of data engineers, providing guidance and mentorship to help them grow in their careers. Foster a culture of innovation, collaboration, and continuous learning.• Participate in hands on development with the team• Develop and maintain data architectures:Develop and maintain data architectures that meet business needs. Work with stakeholders to identify data requirements and develop data architectures that meet those needs.• Work with Flink or other streaming technologies: Work with Flink or other streaming technologies to develop real-time data pipelines. Develop and implement data streaming solutions that meet business needs.• Collaborate with cross-functional teams:Collaborate with cross-functional teams, including data science, product, and business teams, to identify data requirements and develop data solutions that meet business needs.• Ensure data quality and security: Ensure data quality and security by developing and implementing data validation, data cleansing, and data security protocols.• Stay up-to-date with industry trends: Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to develop innovative data solutions.All you need is...• 8+ years of experience in data engineering: 8+ years of experience in data engineering, with a focus on large-scale data pipelines and architectures.• Experience in developing enterprise grade platforms as a product, serving multiple customers.• Experience with Flink or other streaming technologies: Experience with Flink or other streaming technologies, such as Apache Kafka, Apache Spark, and Apache Storm.• Experience with database technologies such as cassandra/syclladb , analytical databases• Experience with data lake technologies such as blob storage, lakehouse formats• Experience leading and managing teams: Experience leading and managing teams of data engineers, with a focus on developing and mentoring team members.• Strong programming skills: Strong programming skills in languages such as Java, Scala, and Python.• Experience with data architecture: Experience with data architecture, including data warehousing, data lakes, and data streaming.• Strong communication and collaboration skills: Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.Preferred Qualifications:• Degree in Computer Science or related field: Master's degree in Computer Science or related field.• Experience with cloud-based data technologies: Experience with cloud-based data technologies, such as AWS Glue, AWS Lambda, and Google Cloud Dataflow.• Certification in data engineering or related field: Certification in data engineering or related field, such as Certified Data Engineer or Certified Big Data Engineer.Why you will love this job:You will be challenged with leading and mentoring a small development team and h owning the technical aspects of the projectYou will have the opportunity to work in a growing organization, with ever growing opportunities for personal growthYou will have the opportunity to work with the industry most sophisticated technologies!We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!