AWS Data Architect
RIT Solutions
AWS Data Solution Architect
Healthcare Payor / Provider client experience REQUIRED.
Deep experience working as an AWS Data Solution Architect with 5+ years AWS Cloud. Must excel in client/ stakeholder interactions, bridging the gap between technical complexities and business requirements. Clear and concise communication of technical decisions to non-technical stakeholders will be crucial for success and successful adoption.
10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environment.
Data Warehouse / Data Platforms (Kafka and Kinesis required) - They have NO INTEREST in folks with just Azure or GCP.
Hands-on experience with building AWS POCs for data solutions which include:
- Moving legacy on-prem data platforms to the cloud
- ETL / Data Modeling / Data Parsing
- Data streaming / Realtime data transfer
Business side interaction-Comfortable talking with Business stakeholders and working with them on POCs to gather data requirement and define future state
Experience with Aurora DB loads in real-time/streaming (Kafka, Kinesis).
Experience with data parsing in Json or xml.
Responsibilities Required Technical Skills
- Minimum 8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms and applications.
- Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable).
- Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent.
- Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch).
- Minimum 4 years of experience with programming languages Node.js, Python, Java or Scala.
- Minimum 3 years of experience with building applications with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis etc..
- Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
- Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.
- Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous and evolving requirements.
- Minimum 2 years of experience with building solutions using tools like Vizio, Draw.io and Miro.
- Experience working with RESTful API and general service-oriented architectures.
- Experience with DevOps, Continuous Integration and Continuous Delivery technologies is desirable.
- AWS Solution Architect certification (associate & above) is highly desirable.
- Healthcare domain knowledge required.
Excellent verbal and written communication skills
Vacancy posted 3 days ago
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