Dataops Manager Jobs in North Carolina (NOW HIRING)

Job Summary:
Scout Motors Inc. is dedicated to carrying forward the heritage of iconic American vehicles while embracing innovation. The Senior DataOps Engineer will play a crucial role in building a secure and scalable data platform that enables real-time insights and supports AI-enabled use cases across the organization.
Responsibilities:
• Contribute to the design, implementation, automation, maintenance, and operational support of enterprise-scale cloud data platforms leveraging Databricks, AWS cloud services, and modern Infrastructure as Code (IaC) practices.
• Lead the design, development, optimization, and operational management of enterprise-scale ETL/ELT pipelines within Databricks.
• Build and maintain scalable batch and streaming data pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
• Configure, optimize, and manage Databricks clusters for performance, scalability, reliability, and cost efficiency.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.
Qualifications:
Required:
• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models.
• Strong ability to extract actionable insights using ML techniques.
• Ability to leverage ML algorithms for forecasting trends and decision-making.
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
Company:
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. Founded in 2022, the company is headquartered in Washington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.