Sr. Database Engineer

Introduction:

Prodapt is seeking a Sr. Database Engineer to be a technical authority and lead designer of high-performance data environments. The ideal candidate will be responsible for architecting scalable data systems, engineering database automation, optimizing for performance, modernizing for AI, setting standards, and leading and mentoring junior engineers.

Responsibilities:

• Architect Scalable Data Systems: Design and oversee the implementation of enterprise-scale relational and NoSQL database architectures.
• Engineer Database Automation: Develop "Database-as-Code" using Terraform or CloudFormation to automate provisioning, scaling, and recovery processes.
• Optimize for Performance: Act as the final authority on complex performance tuning, including query optimization, indexing strategies, and hardware-level bottleneck analysis.
• Modernize for AI: Design and implement specialized data storage solutions to support Generative AI and RAG-based applications.
• Set the Standards: Define and enforce best practices for data modeling, security, and high-availability/disaster recovery.
• Lead & Mentor: Act as a technical mentor for junior engineers, leading deep-dive design reviews and fostering a culture of operational excellence.

Requirements:

• Professional Experience: 8-12+ years in database administration or engineering, with at least 4+ years in a Senior Engineering role focusing on cloud environments.
• AWS Database Mastery: Expert-level knowledge of the AWS database ecosystem, including Aurora, RDS, DynamoDB, and Redshift.
• Coding & Scripting: Proven mastery of Python and Advanced SQL for automation and data manipulation.
• Infrastructure as Code (IaC): Deep experience with Terraform or AWS CDK to manage database infrastructure.
• Data Modeling: Expert-level understanding of both relational and non-relational data modeling techniques.
• Client-Facing Excellence: Exceptional skills in leading technical workshops and translating business needs into technical designs.
• Startup Mentality: A "builder" mindset with a focus on impact, ownership, and solving technical challenges.

Bonus Points (Nice-to-Haves):

• Certifications: AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional.
• AI/ML Fluency: Experience with vector databases and preparing data pipelines for LLM integration.
• Consulting Background: Experience in a Professional Services or global consulting environment.