DataArt is a global software engineering firm that takes a uniquely human approach to solving problems.
21 липня 2021

Data and Analytics Solution Architect AWS (вакансія неактивна)

Київ, Харків, Львів, Дніпро, Одеса, віддалено

Необхідні навички

Solid experience as an Architect/Tech Lead — from 5 years in commercial projects
Know what a “customer-centric attitude” is
Can communicate clearly and consciously — both verbally and in writing
Experience with end-to-end implementation (from vision to hand-over to production) of at least 3 medium or large scale Data Management solutions: DWH/BI/Reporting/Big Data analytics/MDM/Metadata Management
2+ years of hands-on experience with AWS Data & Analytics Technology Stack, AWS Well-Architected Framework
Expert experience in major RDBMS, BigData, and Cloud tech stacks
Hands-on with at least one of the mainstream development stacks (Java/.NET/Python etc.)
Good understanding of architecture principles, platforms, and best practices
Some level of familiarity with TOGAF and DAMA DMBOK 2nd edition (especially — chapters 3 and 15)
Business analysis skills
Ability to design and Deliver Solution Architecture documentation (will be trained by DataArt)

Буде плюсом

Experience in the pre-sale process


• Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support speakers who make presentations at conferences and meetings of technology communities.
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Friendly atmosphere, concern for the comfort of specialists;
• Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues;
• The ability to work in any of our development centers.


Drive and be accountable for solution design and discovery exercises for both new and existing clients
Elicit business needs and requirements, determine the scope, team, and timelines for projects
Lead the implementation of the solution’s architecture from ideation to completion
Serve as a top-level escalation point for technical and process concerns, which may arrive from either the implementation team or client (or both)
Mentor everyone on your team (including developers, QAs, BAs, PMs, DevOps, business stakeholders, and yourself)
Read, listen, and learn a lot

Про проєкт

DataArt’s Data & Analytics Competence Center designs and implements modern data and analytics solutions for mid and large-sized organizations. We are looking for a Solution Architect who will join our rapidly growing team and provide Solution Architecture consulting services to our clients and delivery teams. The Architect will lead and support solution architecture discovery and design, client engagement activities, guide implementation teams, drive engagements from opportunity through to successful design and implementation. We provide an opportunity to develop Solution Architecture skills, chose any direction for a career in architecture development, take responsibility and lead initiatives, engagements and people.

This project is comprised of multiple Data & Analytics projects in an AWS ecosystem.

DataArt’s Data & Analytics Competence Center has a team of 3 solutions consultants, 5 solution architects, and data and big data engineers. We perform consultancy, solution discovery and design activities, projects’ kick-off and acceleration, supervision of projects, R&D, etc.

Technology and infrastructure: Amazon Athena, Amazon CloudSearch, Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Elasticsearch Service, Amazon EMR, Amazon Kinesis, Amazon Managed Apache Cassandra Service, Amazon Managed Streaming for Apache Kafka, Amazon Neptune, Amazon Quantum Ledger Database, Amazon QuickSight, Amazon Redshift, Amazon Timestream, AWS Data Exchange, AWS Data Pipeline, AWS Glue, and/or AWS Lake Formation.