Position: Solution Architect (AWS)
Company: ClearScale
Experience required: 5y
Category: Lead
English level: fluent
Published: 2021-06-01T00:00:00+03:00

**Responsibilities:**
— Lead sessions with business and technical experts to deeply understand their needs, solicit and document requirements
— Consult and advise engineers, architects and executives, help define the right choice of technology stack, serve as a leading technical expert on Data
— Create SOWs and/or provide a structured and complete informational background to the engineering team
— Design and articulate major aspects of highly-scalable, reliable, and performant technical data solutions that leverage AWS cloud platform to automate business solutions
— Handle potential trade-offs occurring during the implementation phase, make decisions and suggest the right course of action, establish patterns
— Handle the strategic vision, align roadmaps and requirements. Build and maintain technical trusted advisor relationships with all levels in an organization, from technical experts to senior executives
— Accelerate innovation by detecting high-impact, repeatable solutions for enterprises, iteratively deploying them and representing ClearScale’s capabilities in Data to customers and the community
— Authorship of technical publications including blog entries, case studies and e-books

**Qualifications:**
ClearScale expects successful candidate to have most of the following qualifications and skills:
— Bachelor’s degree in an engineering/scientific field (or) 5+ years of experience in big data
— 3+ years consulting experience and track record of helping customers with their needs (or) comparable experience working with internal customers in a product company
— Experience in Pre-Sales and Business Development in Consulting Companies
— 3+ years hands-on experience working with AWS cloud platform
— Domain specific expertise: data manipulation, data analytics (batch and real-time) and data visualization tools (e.g. Hadoop, Spark, Presto, Hive, Kibana, Jupyter)
— Deep expertise in AWS services for managing data at speed and scale (e.g. Kinesis, S3, Athena, Glue, EMR, Redshift, DynamoDB, ElasticSearch, Step Functions)
— Experience working with RESTful API and general service oriented architectures
— Experience using and adapting to new technologies
— Comfort with assuming high-profile leadership roles in demanding, highly-visible customer situations
— Strong listening, written and verbal communications skills in English

**Additional things to be considered as a plus:**
— AWS Solutions Architect Professional certification or ability to acquire it in 3 months
— AWS Big Data certification or ability to acquire it in 3 months
— Experience with enterprise workloads migration to AWS platform
— Experience with containerized environments and/or serverless applications
— Experience working with secured data (e.g. PHI, classified data)
— Deep understanding of column, key-value, document or graph databases
— Professional experience in software development in languages related to data science
— Experience with AWS services related to AI/ML (e.g. Forecast, Personalise, Transcribe, Lex, SageMaker)
— Experience with AWS services related to IOT
— Experience giving public technical presentations

**We offer:**
— High compensation paid every two weeks in USD
— Completely REMOTE work: we trust our employees to work from anywhere they please
— Flexible schedule consisting of 40 hours per week, Slack and Zoom for communication
— Bureaucracy-free environment
— We adore change-makers and creators so you’ll be able to make influence to our processes
— Highly skilled project teams consisting of 3-5 members (senior level professionals)
— Wise projects rotation
— Paid AWS certifications