Sr Database Engineer_KCC

For Earth For Life

Applicants must live within the Dallas/Ft. Worth metropolitan area.
Applicants must be authorized to work for any employer in the U.S.
We are unable to sponsor or take over sponsorship of an employment Visa at this time.
This position requires onsite 2 days in-office. (Grapevine, TX)

Job Overview
Lead the architecture and build-out of the organization's cloud-native data platform in Azure, establishing the data foundation for advanced analytics and AI-driven initiatives. This position will be responsible for designing modern, scalable data pipelines and integrating data from diverse sources, ensuring the data ecosystem is robust, secure, and future-ready.

Key Responsibilities
This position does the following in accordance with all applicable Federal, State and local laws / regulations and the Company's policies, procedures and guidelines:

• Design, develop, and optimize scalable data pipelines using Azure Data Factory, Microsoft Fabric, and related Azure tools.
• Implement Self Service Reporting via a medallion architecture data warehouse to enable high-quality data curation, lineage, and access within a lakehouse ecosystem.
• Integrate, transform, and model data from various sources (ex: Oracle, SQL Server, and MongoDB, Kafka, etc.) for analytic and operational use cases.
• Collaborate with cross-functional stakeholders to capture requirements and translate business needs into technical solutions.
• Drive the adoption of best practices in data architecture, data quality, security, governance, and compliance across the platform.
• Enable future AI and ML capabilities by preparing and structuring data for agentic, vectorized workflows.
• Monitor, troubleshoot, and continuously improve data pipelines for performance, scalability, and reliability.
• Mentor junior engineers and proactively contribute to knowledge sharing within the team.
• Support the Data & Analytics team as the SQL expert (code optimization, etc.).
• Create and maintain a Data Dictionary in support of Self-Service Reporting.
• Additional duties assigned by management.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology or a related field
• 5+ years of experience in data engineering, including architecting and delivering data pipelines and platforms on Azure.
• Substantial hands-on experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, and related Azure data services.
• Strong proficiency in Python, SQL, and ETL/ELT processes. Spark, Scala, or Java are desirable.
• Proven ability to work with and integrate data from both relational (Oracle, SQL Server) and NoSQL (MongoDB) databases.
• Knowledge of modern data architecture concepts, including data lakehouses, Medallion architecture, and real-time data processing.
• Experience implementing data security, governance, and compliance controls in the cloud.
• Excellent problem-solving, communication, and stakeholder engagement skills.
• Familiarity with AI/ML integration, vector data preparation, or readiness for advanced analytics initiatives are a plus.
• Experience with Data Governance / Data Quality tools and processes (e.g., Azure Purview).
• Strong analytical skills, problem solving and strategic thinking.
• Strong communication and interpersonal skills with the ability to effectively collaborate with stakeholders.

Physical Requirements

• Requires sufficient personal mobility and physical reflexes, to permit the employee to function in a general office environment and accomplish tasks and duties as outlined above.

Disclaimer
The information provided in the description has been designed to indicate the general nature and level of work performed by incumbents within the classification. This description is not intended to be a comprehensive inventory of all duties, responsibilities, qualifications and working conditions required of employees assigned to this job/classification. This job is intended to include the current essential functions of the job. Management reserves the right to add or modify the duties and responsibilities and to designate other functions as essential at any time.

Kubota is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin.