Senior Database Engineer

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A Service Now-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan.

Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

Role Overview:
We are looking for a Senior Database Engineer to be a technical authority and lead designer of our high-performance data environments. You are a "builder" who views databases as code—equally skilled at deep SQL performance tuning as you are at building automated deployment pipelines for global-scale clusters.

You thrive on the challenge of high-stakes, large-scale data systems. As a key client-facing expert, you will guide our clients away from legacy "babysitting" models toward modern, self-healing, cloud-native database architectures on AWS.

• Design and oversee the implementation of enterprise-scale relational (RDS, Aurora) and No
  
  SQL (Dynamo
  
  DB, Document
  
  DB) database architectures.
• Develop "Database-as-Code" using Terraform or Cloud Formation to automate provisioning, scaling, and recovery processes across multi-region environments.
• Act as the final authority on complex performance tuning, including query optimization, indexing strategies, and hardware-level bottleneck analysis.
• Design and implement specialized data storage solutions, such as vector databases (Amazon Open Search, pgvector), to support Generative AI and RAG-based applications.
• Define and enforce best practices for data modeling, security (encryption at rest/transit), and high availability/disaster recovery (RPO/RTO) across the practice.
• Act as a technical mentor for junior engineers, leading deep-dive design reviews and fostering a culture of operational excellence.

• 8-12+ years in database administration or engineering, with at least 4+ years in a Senior Engineering role focusing on cloud environments.
• Expert-level knowledge of the AWS database ecosystem (Aurora, RDS, Dynamo
  
  DB, Redshift).
• Proven mastery of Python and Advanced SQL for automation and sophisticated data manipulation.
• Deep experience with Terraform or AWS CDK to manage database infrastructure.
• Expert-level understanding of both relational and non-relational data modeling techniques.
• Exceptional skills in leading technical workshops and translating ambiguous business needs into high-performance technical designs.
• A "builder" mindset with a focus on impact, ownership, and the agility to solve "unsolvable" technical challenges.

• Must Have: 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.