What are the responsibilities and job description for the Senior Data Architect Lead position at Pratt Miller?
We're looking for an experienced Data Engineer Lead to join our team at Oshkosh Corporation. As a key player in our data engineering group, you'll be responsible for designing and developing scalable ETL solutions to deliver data from source systems to analytics platforms. You'll collaborate with cross-functional teams to identify and prioritize data engineering needs, leveraging your expertise in ETL pipelines, SQL, programming, relational databases, data modeling, and networking. Your contributions will have a direct impact on our ability to inform business decisions and drive strategic initiatives.
In this role, you'll have the opportunity to work with cutting-edge technologies, including AWS, Spark, Databricks, Azure Synapse, and Azure Storage accounts. You'll also contribute to the development of our company's data governance framework, ensuring proper quality, security, and compliance within the data lake. Additionally, you'll coach and mentor junior team members, sharing your knowledge and best practices in data engineering.
To succeed in this role, you'll need a bachelor's degree or higher in a related field and at least five years of experience in data engineering. A master's or doctorate degree is preferred. You should possess strong analytical, problem-solving, and interpersonal skills, with the ability to communicate complex technical concepts effectively. Experience with ITIL methodology and ticketing software is also essential.
In this role, you'll have the opportunity to work with cutting-edge technologies, including AWS, Spark, Databricks, Azure Synapse, and Azure Storage accounts. You'll also contribute to the development of our company's data governance framework, ensuring proper quality, security, and compliance within the data lake. Additionally, you'll coach and mentor junior team members, sharing your knowledge and best practices in data engineering.
To succeed in this role, you'll need a bachelor's degree or higher in a related field and at least five years of experience in data engineering. A master's or doctorate degree is preferred. You should possess strong analytical, problem-solving, and interpersonal skills, with the ability to communicate complex technical concepts effectively. Experience with ITIL methodology and ticketing software is also essential.
