? Location: Remote
? Experience: 10+ Years
? Shift: 6:00 PM – 3:00 AM IST
? Employment Type: Full-Time
? Role Overview
We are looking for an experienced Data Architect / Forward Deployed Engineer to work closely with enterprise customers in designing, deploying, configuring, and optimizing managed and self-managed database environments across cloud and on-premises infrastructure.
This role also involves implementing AI-powered conversational analytics solutions that transform natural-language questions into accurate SQL queries.
The ideal candidate combines strong database and cloud architecture expertise, hands-on engineering capabilities, technical consulting, and customer-facing skills, with an interest in emerging AI/LLM technologies.
? Key Responsibilities
Customer Deployment & Implementation
- Design, deploy, configure, and optimize enterprise database environments.
- Install and support self-managed database clusters across cloud and on-premises environments.
- Perform cluster sizing, architecture design, upgrades, migrations, and production-readiness assessments.
- Implement High Availability (HA), Disaster Recovery (DR), backup, security, and performance optimization.
- Troubleshoot complex database, infrastructure, networking, 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 Natural Language-to-SQL and AI-powered analytics capabilities.
- Validate AI-generated outputs and optimize prompts for accuracy and reliability.
- Partner with Product and Engineering teams to provide implementation feedback and recommend product improvements.
Technical Consulting
- Act as the primary technical advisor throughout customer implementations.
- Lead discovery sessions, technical workshops, architecture reviews, and solution discussions.
- Translate business requirements into scalable and secure technical solutions.
- Recommend best practices around deployment, performance, scalability, and security.
- Create technical documentation, architecture guides, and implementation runbooks.
AI & Automation
- Leverage modern AI tools to accelerate troubleshooting, deployments, documentation, and knowledge sharing.
- Develop automation scripts for repetitive deployment and operational activities.
- Use AI coding assistants and productivity tools to improve engineering efficiency.
- Stay current with LLMs, AI Agents, Generative AI, and enterprise AI technologies.
Customer Success
- Build strong relationships with customer architects, engineering teams, and technical stakeholders.
- Drive successful implementations while maintaining a high-quality customer experience.
- Conduct knowledge-transfer sessions and mentor customer teams on operational best practices.
- Collaborate with Customer Success and Support teams for smooth project handoffs.
? Required Qualifications
- 10+ years of overall IT experience, preferably in Professional Services, Solutions Engineering, Customer Engineering, Forward Deployed Engineering, Technical Consulting, or Data/Database Architecture.
- Bachelor's degree in Computer Science, IT, Engineering, or equivalent practical experience.
- Strong experience deploying enterprise software and database solutions in customer environments.
- Hands-on experience with distributed SQL or relational databases such as:
- PostgreSQL
- CockroachDB
- YugabyteDB
- MySQL
- or similar technologies
- Strong Database Administration and Performance Tuning experience.
- Experience with Data Ingestion and ETL/ELT pipelines.
- Experience with monitoring tools such as Grafana, Prometheus, or Datadog.
- Hands-on experience with Terraform or Ansible for Infrastructure as Code.
- Strong understanding of CI/CD and DevOps practices.
- Strong Linux system administration skills.
- Experience with at least one major cloud platform:
- AWS
- Microsoft Azure
- Google Cloud Platform
- Hands-on experience with Kubernetes and containerized applications.
- Strong networking fundamentals including DNS, TLS/SSL, firewalls, load balancing, and network troubleshooting.
- Programming/scripting experience with Python, Bash, or similar languages.
- Familiarity with REST APIs and enterprise integrations.
- Solid analytical, troubleshooting, communication, and customer-facing skills.
⭐ Good to Have
- Experience with Generative AI, LLMs, AI Agents, or Natural Language-to-SQL solutions.
- Experience implementing AI-powered analytics platforms.
- Knowledge of prompt engineering and AI output validation.
- Experience working directly with enterprise customers and technical leadership.
- Experience with database migrations, upgrades, HA/DR architecture, and production deployments.
- Robust technical documentation and workshop facilitation skills.
? What We're Looking For
We’re looking for a hands-on technical leader who can move comfortably between database architecture, cloud infrastructure, DevOps, AI implementation, troubleshooting, and customer consulting.
If you enjoy solving complex technical challenges and working directly with enterprise customers to deliver scalable, production-ready solutions, we'd love to hear from you!
? Interested candidates can share their updated resumes / apply directly.
[email protected]
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📌 We're Hiring: Data Architect / Forward Deployed Engineer (Chandigarh)
🏢 Trantor
📍 Chandigarh