DataOps Engineering Manager

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Job Title : DataOps Engineering Manager

Job Location : Nashville, TN (hybrid onsite)

Job Type : FTE (Perm)

Job Purpose

The DataOps Engineering Manager will play a crucial role in shaping and executing the data strategy. This position is responsible for leading a team of data engineers to build and maintain robust data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization. The ideal candidate will leverage their expertise in data engineering and DataOps methodologies to streamline data workflows, enhance the availability and accessibility of data assets, and drive continuous improvement. This role is pivotal in transforming raw data (structured & unstructured) into actionable insights that support our business' analytical needs and accelerate the identification of key business insights.

In this position you will have the opportunity to :

• Lead and mentor a team of data engineers, providing guidance and support to ensure the successful delivery of data projects.
• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Occasional hands-on activity with these processes, as needed.
• Collaborate with cross-functional teams, including data scientists, analysts, architects, and business stakeholders, to understand data requirements and deliver solutions that meet their needs.
• Ensure data quality and integrity by implementing best practices for data governance, data validation, and data observability.
• Identify & solution opportunities for optimization, process enhancements, and new technologies and tools to enhance operational reliability of data management processes.
• Optimize data storage and retrieval processes to improve performance and efficiency.
• Implement and promote DataOps methodologies to streamline data workflows, improve collaboration, and enhance the overall efficiency of data operations and the delivery of data products.
• Manage and prioritize multiple projects and initiatives utilizing a blend of agile and waterfall methods, ensuring timely delivery of data products and alignment with business goals.
• Develop and maintain automated testing, monitoring, and deployment processes to ensure the reliability and scalability of data solutions.
• Foster a culture of continuous improvement by encouraging the adoption of CI / CD processes to optimize and improve workflows.
• Builds successful stakeholder relationships with other IT and business stakeholders by developing a clear understanding of business outcomes, acting as a trusted internal advisor, and ensuring cost-effective design & delivery of data services and products to meet those needs.
• Assesses emerging data engineering technologies for applicability to business objectives, leading proof-of-concept projects, identifying design opportunities for automation, and making recommendations for continuous improvement
• Operates within the formal data governance framework to establish and monitor effective controls for all data assets and the processes and functions performed by the Data Engineering team, including policies and standards for data cataloging, lineage, quality, and process orchestration.
• Supports periodic reviews by audit, compliance and other risk-related functions, as required.
• Support Enterprise Architecture team by reviewing and contributing to architectural blueprints, roadmaps, and documentation to support development and integration efforts. Recommend changes, as required.
• Execute the data strategy across technology platforms for data assets, including oversight of data engineering & integration activities.
• Other duties as assigned

What do I need to be successful?

Education

Work Environment

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Equal Employment Opportunity Statement

Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.

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