Project Role: Integration EngineerProject Role Description Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements.

Must have skills

- Database Architecture

Good to have skills

- NA

Experience

- Minimum 12 year(s) of experience is required

Educational Qualification

- 15 years full time education

Summary As an Integration Engineer, a typical day involves offering expert guidance on business and system integration to support clients in deploying efficient solutions. This role requires understanding client requirements deeply and translating them into practical business and technology strategies. The day includes leading discussions on transformation initiatives, mapping the customer journey, and designing functional and application frameworks that align with business objectives.

The Integration

Engineer ensures that the technology solutions implemented accurately reflect the business needs and contribute to seamless integration across various systems and processes.

Position Database & Engineering SME - Level 7

Role Overview We are looking for an experienced Database & Engineering Subject Matter Expert (SME) who can provide technical leadership across modern database platforms, cloud technologies, application engineering, and data modernization initiatives. The candidate will work closely with architecture, engineering, delivery, and client teams to design scalable, secure, and high-performing solutions. The role requires strong hands-on technical expertise combined with the ability to guide engineering teams, support solution design, troubleshoot complex technical challenges, and contribute to modernization and transformation programs.

Key Responsibilities

- Act as a technical SME across databases, cloud platforms, application engineering, and data modernization.
- Design and review highly scalable, secure,



and resilient database architectures.
- Provide expertise across SQL and NoSQL databases, including MongoDB and other enterprise database technologies.
- Define database design, data modeling, indexing, performance optimization, replication, partitioning, and high-availability strategies.
- Support database modernization and migration initiatives from legacy and relational platforms to modern cloud-native databases.
- Work with cloud platforms such as AWS, Azure, and GCP.
- Provide technical guidance on application modernization, microservices, APIs, event-driven architectures, and cloud-native engineering.
- Analyze complex production issues and provide root-cause analysis and remediation recommendations.
- Conduct architecture and code reviews and establish engineering best practices.
- Mentor developers, database engineers, and technical resources.
- Collaborate with enterprise architects, client stakeholders, and delivery leads to translate business requirements into technical solutions.
- Contribute to PoCs, technical assessments, solution proposals, estimations, and technical presentations.
- Support automation using DevOps, Infrastructure as Code, CI/CD, and observability technologies.
- Identify opportunities to leverage GenAI, AI/ML, and automation to improve application and data engineering.
- Ensure solutions comply with security, governance, performance, and operational requirements.

Required Technical SkillsDatabase

- Strong expertise in one or more databases:
- MongoDB
- Oracle
- PostgreSQL
- MySQL
- SQL Server
- Cassandra
- Cosmos DB
- Other NoSQL platforms

- Strong understanding of:

- Data modeling
- Query optimization
- Indexing
- Replication
- Sharding/partitioning
- High availability
- Disaster recovery




- Database security
- Backup and recovery
- Database migration

Cloud & Engineering

- AWS/Azure/GCP
- Microservices architecture
- REST APIs
- Event-driven architecture
- Kafka or equivalent messaging platforms
- Docker and Kubernetes
- CI/CD
- Terraform or other Infrastructure-as-Code tools
- Git and modern development practices

Programming

- Robust experience in one or more:
- Java
- Python
- Node.js
- .NET
- Go

Modernization & Architecture

- Application modernization
- Cloud migration
- Legacy modernization
- Database migration
- Distributed systems
- API modernization
- Data integration
- Performance engineering

Preferred Skills

- MongoDB certifications or equivalent database certifications.
- Experience with MongoDB Atlas and cloud-native databases.
- Experience with Vector Search, RAG, GenAI, or Agentic AI.
- Experience leading technical PoCs and workshops.
- Strong client-facing and consulting skills.

Experience

- 10-15 years of overall IT experience with significant experience in database engineering, application engineering, cloud, architecture, or modernization.

Behavioral Competencies

- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder-management skills.
- Ability to influence technical decisions.
- Strong mentoring and collaboration capabilities.
- Ability to work independently in complex delivery environments.
- Strong consulting and presentation skills.

Success Criteria

- Provides strong technical direction to engineering teams.
- Successfully resolves complex database and application engineering challenges.
- Enables modernization and cloud adoption.
- Improves application/database performance and reliability.
- Builds technical capability through mentoring and knowledge sharing.

Additional Information

- The candidate should have minimum 12 years of experience in Database Architecture.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.

Locations Job No. ATCI-5729251-S2066401 | Hyderabad | Required Skill: Database Architecture

📌 Integration Engineer (India)
🏢 Accenture
📍 India