Lead Data Architect

Lead Data Architect

Job Type: C2C/W2 | Onsite (Locals Preferred)

Memphis, Tennessee, United States

This senior data engineer will use sound data engineering principles to implement software and systems to provide data to internal customers with high reliability, quality, and timeliness support of analytics, reporting, and operational functions.

The role provides capabilities to deliver analytics, reporting, and visualization of complex data and systems. Senior Data Engineers are expected to be able to work directly with stakeholders and be capable of working on marketing-related IT problems from end-to-end.

• Participates with cross-functional company project teams responsible for implementing technology.
• Independently develops and maintains new and existing processes for creating and maintaining datasets, data processing solutions, and data storage solutions, with consideration for performance, correctness, and availability.
• Works across engineering teams to lead, define, and manage requirements regarding the production and storage of data assets.
• Works directly with stakeholders to identify opportunities for analysis and reporting on complex data in solution of business problems.
• Develops relational and/or tabular data models to facilitate downstream consumption of data by people or systems.
• Collaborates with data scientists and/or architects to aid in productionalizing proof-of-concept models or other data solutions.
• Conducts analysis and reporting on complex data.
• Builds integrations between multiple disparate data sources to facilitate unified views of data.
• Provides support for users in diagnosing potential data-related issues.
• Monitors environment performance and provides all necessary reporting analysis.
• Contributes to the completion of project/program milestones.
• Attends relevant conferences/seminars to remain current on new and upcoming technology.
• Requires little to no supervision to drive solutions to technical problems.
• Actively mentors more junior team members.

• Verbal, written and presentation communication skills necessary to communicate with all levels of management and cross-functional teams.
• Experience in requirements development, analysis, allocation, review, tracing, and validation.
• Experience in product concept development, requirements management, functional analysis.
• Knowledge of modern data and platform delivery practices in one or more recognized paradigms (data fabric, data mesh, data warehouse, data lake house, data lake, etc.).
• Knowledge of multiple data delivery and data hosting platforms. (RDBMS, 'No SQL', data query tools, data visualization tools, persistent data models, integration platforms, etc.)
• Experience in working on GCP and other cloud platforms.
• Strong understanding of data engineering fundamentals, implementation of modern data platforms, and data modeling characteristics.
• Time management, organizational and multitasking skills necessary to work in a fast-paced environment, handling various tasks and changing priorities, while maintaining a high attention to detail and accuracy to achieve daily assignments and goals.
• Experience in one or more programming languages common to data processing workflows (e.g., Python, Java) and expert knowledge of one or more analytics tools (Power BI, Tableau, etc.)
• Demonstrated ability of working on multiple projects in a deadline-driven environment.
• Demonstrated experience in data modeling.
• Demonstrated system engineering/analytical/problem-solving skills.

• Collaborative, Analytical, Problem-Solving, Achievement Mindset, Growth Mindset, Ability to thrive in the face of ambiguity and challenge.

• B.S. degree in Computer Science or other technical or quantitative field.
• 10-15 years' experience in data engineering, or related field.