SENIOR DATA PLATFORM ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Reviewed under Editorial Standards by Lam Nguyen
Updated: Mai 19, 2025 - The Senior Data Platform Engineer possesses extensive experience in leading comprehensive software projects, from initial development to deployment, with a robust knowledge of both SQL and NoSQL databases including Postgres, MySQL, and MongoDB. Expertise encompasses web-based architectures, leveraging web servers, load balancing, and caching, along with a strong aptitude for problem-solving and scaling algorithms for high-performance environments. This role demands proficiency in developing data-driven web applications, utilizing the latest web development trends, and implementing machine learning platforms such as Spark and TensorFlow to enhance business intelligence applications.
Essential Hard and Soft Skills for a Standout Senior Data Platform Engineer Resume
- Data Architecture
- Cloud Platforms (AWS/Azure/GCP)
- Data Modeling
- ETL/ELT Development
- SQL and NoSQL Databases
- Data Warehousing
- Python Programming
- Data Pipeline Design
- API Integration
- Performance Optimization
- Leadership
- Communication
- Problem-Solving
- Collaboration
- Strategic Thinking
- Adaptability
- Critical Thinking
- Project Management
- Time Management
- Attention to Detail
Summary of Senior Data Platform Engineer Knowledge and Qualifications on Resume
1. BS in Computer Science with 5 years of Experience
- Strong OO programming experience using Java or Python.
- Experience with advanced SQL and large relational databases such as Teradata, Oracle, or SQL Server.
- Experience with Linux environment and building CI/CD pipelines
- Ability to take initiative, being multi-task, self-starter, detail-oriented are essential in this role
- Knowledge and experience in Cloud technologies such as GCP, Azure
- Knowledge of the systems development life cycle, client area’s functions and systems, and systems application program development technological alternatives.
- Proven implementation of creative technology solutions that advanced the business.
- Excellent written and oral English communication skills.
- Proven Data Warehouse skills and experience
- Experience with Data modeling
- Ability to communicate complex data topics effectively with business stakeholders
- Expertise in data science, modeling, machine learning, and analytics.
2. BA in Data Science with 4 years of Experience
- Experience in building complex ETL pipelines with dependency management utilizing File Watchers, APIs, etc.
- Experience with Airflow, Talend, etc.
- Experience directly related to Big Data technologies
- Experience with Spark, Hive, Hadoop, Parquet, HDFS, Python, Scala, Data Lake, NoSQL
- Ability to possess Industry-recognized certifications including Microsoft Certified Solutions Associate, AWS Solutions Architect, Spark Certified Developer
- Experience with the Scrum Agile methodology
- Deep familiarity with PaaS services, containers, and orchestrations specifically around Docker and Kubernetes.
- Strong ability to learn new technologies in a short time.
- Well-developed verbal and written communication skills.
- Strong programming skills like Python and strong SQL skills
- Strong ETL experience (Airflow or Pentaho a bonus)
- Experience Cloud computing such as AWS, GCP
- Experience with DevOps/CICD
3. BS in Information Technology with 8 years of Experience
- Experience leading successful software projects from inception through deployment
- Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB).
- Strong understanding of web-based architecture - web servers, load balancing, caching, databases etc.
- Strong problem-solving skills and algorithm scaling.
- A passion for answering questions from analysis of data.
- Experience in developing data-driven web applications.
- Up-to-date knowledge of the latest trends in web application development, including the Amazon AWS ecosystem.
- Experience building and using RESTful APIs.
- Experience with multi-threading, replication etc. concepts in cloud applications.
- Familiarity with large-scale business intelligence applications.
- Knowledge of distributed machine learning platforms like Spark, TensorFlow, Keras, PyTorch, Mahout or GraphLab
- Experience leading software projects from inception to completion
4. BA in Business Analytics with 6 years of Experience
- Strong SQL Server Integration Services (SSIS) experience
- Strong T-SQL experience
- Experience with Query tuning and ability to read query plans in SQL Server
- Experience with software development processes and agile methodologies
- Data modeling and architecture (data lakes)
- Experience with ETL and integration design patterns
- Experience with Data visualization (Oracle Analytics Cloud)
- Experience with containerization technologies like Docker, Kubernetes
- Experience successfully deriving insights from data, modeling, and simulation into actionable algorithms that drive business value.
- Expertise in big data technology infrastructure and environments coupled with business process.
- Ability to communicate clearly, concisely, and convincingly with technical and non-technical audiences.
- Knowledge of sleep science
- Knowledge of sleep research
- Experience working in an agile environment
Editorial Process
Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.
Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.