Data Architect

About Trantor

Trantor is a global technology services and engineering company specializing in delivering high-impact Professional Services, Customer Success, and Engineering solutions for leading enterprise software companies. Our consultants partner with some of the world's most innovative technology organizations to help customers successfully deploy, adopt, and maximize the value of their platforms.

We are looking for a highly skilled Forward Deployed Engineer (FDE) to join our team. This is a customer-facing consulting role where you will deploy and optimize enterprise database environments, implement AI-powered solutions, and act as a trusted technical advisor throughout the customer lifecycle.

Role Overview

As a Forward Deployed Engineer, you will work directly with enterprise customers to design, deploy, configure, and optimize managed and self-managed database clusters across cloud and on-premises environments.

You will also lead the implementation of AI-powered conversational analytics solutions that transform plain-English questions into precise SQL queries.

This role combines technical implementation, architecture consulting, customer engagement, and AI adoption. The ideal candidate is equally comfortable leading executive discussions, conducting technical workshops, and performing hands-on deployments.

Key Responsibilities

Customer Deployment & Implementation

Deploy, configure, and optimize enterprise database environments for customers.

Install, configure, and support self-managed database clusters across cloud and on-premises infrastructure.

Perform cluster sizing, architecture design, upgrades, migrations, and production readiness assessments.

Configure high availability, disaster recovery, backup, security, and performance optimization.

Troubleshoot complex infrastructure, database, and deployment issues.

AI Solution Implementation

Deploy and configure AI-powered analytics solutions for enterprise customers.

Integrate AI solutions with customer datasets and enterprise workflows.

Enable customers to leverage natural language queries and AI-powered analytics.

Validate AI outputs, optimize prompts, and support customer adoption.

Collaborate with Product and Engineering teams by providing implementation feedback and product improvement recommendations.

Technical Consulting

Serve as the primary technical advisor during customer implementations.

Lead discovery sessions, technical workshops, and architecture reviews.

Translate business objectives into scalable technical solutions.

Recommend best practices for deployment, performance, scalability, and security.

Produce high-quality technical documentation and implementation guides.

AI & Automation

Leverage AI tools to accelerate deployments, troubleshooting, documentation, and knowledge sharing.

Develop automation scripts to simplify repetitive deployment and operational tasks.

Utilize modern AI coding assistants and productivity tools to improve engineering efficiency.

Stay current with advancements in Large Language Models (LLMs), AI agents, and enterprise AI technologies.

Customer Success

Build trusted relationships with customer stakeholders, architects, and engineering teams.

Drive successful implementations while ensuring an exceptional customer experience.

Mentor customer teams through knowledge transfer sessions and operational best practices.

Collaborate with Customer Success and Support teams to ensure seamless project handoffs.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.

8+ years of experience in Professional Services, Solutions Engineering, Customer Engineering, Forward Deployed Engineering, or Technical Consulting.

Experience deploying enterprise software solutions in customer environments.

Experience with distributed SQL or relational databases such as PostgreSQL, CockroachDB, YugabyteDB, MySQL, or similar technologies.

Database administration and performance tuning experience.

Data ingestion and ETL pipelines.

Monitoring platforms such as Grafana, Prometheus, or Datadog.

Infrastructure as Code using Terraform or Ansible.

CI/CD pipelines and DevOps practices.

Strong Linux system administration skills.

Experience with AWS, Microsoft Azure, or Google Cloud Platform.

Hands-on experience with Kubernetes and containerized applications.

Strong networking fundamentals, including DNS, TLS/SSL, firewalls, and load balancing.

Experience with Python, Bash, or other scripting languages.

Familiarity with REST APIs and enterprise integrations.

Excellent troubleshooting and analytical skills.