Lead Data Engineer

N2P Systems is seeking an experienced Lead Data Engineer to join our enterprise technology delivery team in Memphis, TN, USA. At N2P Systems, you will put 5-8 years of hands-on experience with Databricks, Apache Spark and Python to work on mission-critical enterprise systems. This is an existing contract, hybrid vacancy with N2P Systems.

N2P Systems is seeking an experienced Lead Data Engineer specializing in Databricks to drive the architecture, development, and delivery of modern enterprise data and analytics solutions. This role combines strong technical expertise with delivery leadership, stakeholder engagement, and solution execution. You will help organizations transform business requirements into scalable, cloud-enabled data platforms that support analytics, reporting, and informed decision-making.

N2P Systems uses AI to help screen and assess applications for this role. N2P Systems is an enterprise technology consulting and digital solutions firm operating across Canada, the United States and India.

Key Responsibilities:

• Lead the architecture, development, and implementation of Databricks-powered data engineering and analytics solutions.

• Manage technical teams and project workstreams throughout requirements analysis, solution design, development, testing, and deployment.

• Translate business objectives and technical requirements into scalable data pipelines, data models, and platform capabilities.

• Advise stakeholders on data platform architecture, implementation strategies, and operational considerations.

• Oversee solution quality, resolve technical issues, and monitor delivery milestones and project timelines.

• Support project economics and delivery management while ensuring successful execution.

Required Skills & Qualifications:

• Bachelor's degree in a relevant discipline.

• At least 6 years of experience delivering data engineering, analytics, or cloud data platform solutions.

• Minimum 3 years of hands-on experience with Databricks and Apache Spark.

• Minimum 3 years of professional experience with Python and SQL.

• At least 2 years of experience leading project teams or technical delivery workstreams.

• Ability to provide technical direction and guide teams through complex delivery activities.

• Willingness and ability to travel approximately 50%, depending on project and business requirements.

• Strong attention to detail, professional relationship management, and effective written and verbal communication.

• Limited immigration sponsorship may be available, subject to applicable requirements.

Preferred Qualifications:

• Master's degree in a relevant discipline.

• Experience with Delta Lake, Unity Catalog, or MLflow.

• Exposure to one or more major cloud platforms, including AWS, Microsoft Azure, or Google Cloud Platform.

• Experience designing and implementing batch and streaming data pipelines.

• Familiarity with enterprise data governance, data quality frameworks, and platform security controls.

• Experience contributing to client presentations, technical proposals, and solution demonstrations.