ENGINEERING ARCHITECT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Jun 02, 2025 - The Engineering Architect has expertise in designing and implementing distributed architectures, data structures, and scalable algorithms with proficiency in Python, Java, and database technologies like SQL and NoSQL. This role requires the ability to manage container orchestration using tools such as Docker, Kubernetes, and Redis while optimizing performance and scalability. The architect has a proven track record in developing and maintaining high-availability web services, continuous integration pipelines, and WordPress plugin solutions.
Essential Hard and Soft Skills for a Standout Engineering Architect Resume
- Distributed Architecture Design
- Data Structures
- Algorithms
- Python Programming
- Java Programming
- SQL Databases
- NoSQL Databases
- Container Orchestration
- Kubernetes
- Continuous Integration/Deployment
- Communication
- Collaboration
- Problem-Solving
- Analytical Thinking
- Leadership
- Adaptability
- Time Management
- Creativity
- Attention to Detail
- Decision-Making
Summary of Engineering Architect Knowledge and Qualifications on Resume
1. BS in Computer Science with 6 years of Experience
- Relevant Architect Engineering experience.
- Hands-on deep proficiency with Oracle DB, Exadata, or RAC.
- Hands-on experience in migrating operational systems running on large-scale Oracle databases.
- Enterprise-scale data migration experience from Oracle technologies, starting from project scoping to data/app migration and final certification and post-migration performance tuning.
- Hands-on experience and understanding of SQL Server Analysis Services, SQL Server Integration Services, SQL Server Reporting Services, and Azure Data Factory.
- Breadth experience with PostgreSQL and NoSQL.
- Knowledge of Azure, AWS, GCP, IBM, and Oracle Clouds.
- Deep understanding of cloud computing technologies, business drivers, and emerging computing trends.
- Exceptional verbal and written communication.
- Ability to connect technology with measurable business value.
- Demonstrated technical thought leadership in customer-facing situations.
2. BS in Information Technology with 4 years of Experience
- Hands-on deep proficiency in Oracle
- Database migration experience in systems running on large Oracle databases
- Hands-on experience in SQL Server, SSIS, and Azure Data Factory
- Breadth experience with PostgreSQL and NoSQL.
- Knowledge of Azure, AWS, GCP, IBM, and Oracle Clouds.
- Deep understanding of cloud computing technologies, business drivers, and emerging computing trends.
- Exceptional verbal and written communication.
- Ability to connect technology with measurable business value.
- Demonstrated technical thought leadership in customer-facing situations.
- Excellent communication, collaboration, analytical, and presentation skills
3. BS in Software Engineering with 9 years of Experience
- Experience or exposure to Performance Engineering and Architecture.
- Hands-on Software engineering skills in any structured programming language.
- Good knowledge of designing the high load Applications involving Message brokers (e.g. Kafka, RMQ), Databases(RDBMS and NoSQL), Caching System, Load Balancer
- Excellent knowledge of Containerization and Kubernetes.
- Excellent troubleshooting skills across the full stack - Ability to link load with functional scenario failures.
- Good Exposure to Cloud computing platforms (AWS/GCP/Azure)
- Strong aptitude and experience in medium to large-scale web operations and web-based architectures.
- Strong interpersonal and communication skills to work in a fast-paced and rapidly changing dynamic environment.
- Experience in application workload analysis and creating a workload profile of the application for performance testing
- Experience of Capacity Planning with approaches used in Projects.
- Experience in implementing CI/CD pipeline for Performance Testing
- Prior experience in SRE/DevOps roles with cross-functional goals.
- Experience with multi-environment structured test data setup and management.
4. BS in Computer Engineering with 7 years of Experience
- Experience in Computer Science, Computer Engineering, or a related field
- Sound knowledge of design principles, distributed architectures, data structures, and algorithms
- Excellent communication written and verbal communication skills and ability to collaborate effectively in a team environment
- Expert software architecture, data structures/algorithms, and Python and/or Java skills with emphasis on memory, runtime, quality, and scalability.
- Experience with SQL relational databases and NoSQL databases
- Experience with the command line, git, and other development tools
- Experience in container orchestration in a distributed architecture, to manage multiple containers deployed across multiple host machines
- Knowledge and/or experience with Docker, Docker swarm, Kubernetes, Redis datastore, and Performance/Scale
- Hands-on experience building and operating highly-available, high-traffic web services
- History of building continuous integration/deployment pipelines with robust testing and deployment schedules
- PHP and/or WordPress plugin experience
5. BS in Systems Engineering with 8 years of Experience
- Solution or platform engineering experience in designing and implementing AI/ML or NLP/NLG solutions and products like recommendation engines, Chatbots, virtual assistants, Conversational AI, etc.
- Experience with Azure/AWS/GCP AI services and modules.
- GCP experience and familiarity with its storage, ingestion, development, and deployment lifecycle
- Experience in MLaaS and knowledge of model deployment using REST API frameworks, R Shiny, Flask, Django, etc.
- Experience in solution design including efficient and reliable batch and/or real-time data pipelines (e.g. feature stores).
- Ability to create demos/clickable demos as POC to replicate the end UI/UX for showcasing
- Familiarity with some of these Data Science Platforms including Domino Data Labs, Databricks, H2O.ai, Datakitchen, Dataiku, Datarobot, and Kubeflow.
- Technical software development experience in the field of data-driven products
- Familiarity with AI/ML and NLP modeling techniques like Random forest, XGboost, Deep learning, Topic modeling, Text analytics
- Persuasive written and verbal communication skills, and ability to lucidly explain solution constructs to business and data scientists
- Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment