- Data Science Recruiters and Staffing SpecialistsData Solutions Architect
Data Science Jobs
- AI Engineer
- AI Product Owner
- Algorithmic Trader
- Artificial Intelligence and Machine Learning Engineer
- Artificial Intelligence Product Owner
- BI Developer
- Big Data Engineer
- Business Intelligence Developer
- Creative Strategist
- Data Analyst
- Data Architect
- Data Engineer
- Data Engineering Manager
- Data Scientist
- Data Scientist, Deep Learning
- Data Solutions Architect
- Database Administrator
- Database Administrator (DBA)
- Database Developer
- Deep Learning Engineer
- Director of Analytics
- Director of Artificial Intelligence
- Director of Data
- Director of Machine Learning
- Engineering Manager, Machine Learning
- ETL Developer
- Fraud Analyst
- Hadoop Engineer
- Head of Data Engineering
- Head of Machine Learning
- Internet of Things Engineer
- Machine Learning Engineer
- ML/AI Engineer
- NLP Data Engineer
- NLP Data Scientist
- NLP Engineer
- Python Developer
- Python Engineer
- Risk Analyst
- Statistician
Typical Duties and Responsibilities
- Develop policies related to data quality and security
- Design, maintain, and improve data solutions using systems including Hadoop and SQL
- Lead technical architecture and design sessions and interact with customers to understand their business needs
- Collaborate with internal teams and technology partners to promote the brand
- Assemble reference materials for presales and delivery such as architecture diagrams
- promoting AWS as the preferred cloud through blogs, speeches, webinars, and customer presentations
- Serve as a reliable advisor for pre-sales client interaction
Education
- Bachelor’s degree in computer science, business, engineering, or a related field
Required Skills and Experience
- 10+ years of experience with applications, databases, data, or infrastructure
- 5+ years of experience architecting and deploying environments on AWS
- Experience delivering data migration projects in cloud environments
- Understanding and experience with SQL, ETL and Hadoop
- Knowledge of Informatica, Airflow, AWS Glue, and other ELT tools
- Experience writing Python core data transforms
- Experience creating and installing sophisticated and highly available environment platforms
- Knowledge of AWS best practices, migrations, cloud cost management and cloud security concepts
- Ability to evaluate and match business and technical strategy to client needs
- Comfortable communicating with both technical SMEs and senior leadership
- Excellent oral and written presentation abilities
- strong familiarity with creating cloud-native setups using the Well-Architected Framework of AWS