Position: Big Data Architect
Company: Avenga
Category: Java
Experience required: 5y
English level: fluent

Avenga is a global IT and digital transformation champion. Together, we are more than 2500 professionals with over 20 years of experience. We deliver strategy, customer experience, solution engineering, managed services, and software products. Our mission is to shake up the conventional IT market.

Now, as we grow fast and smart, Avenga is looking for a Big Data Architect to join our team on a full-time basis. You will become a member of a new department consisting of solution architects that will develop a model, standards, and frameworks for the architecture competency. This department will be responsible for delivering consulting projects, driving research and innovations, and building the company's reputation as a thought-leader of the industry.
 
Skills and requirements:

6+years of experience with Big Data;
Knowledge of programming languages: Java, Scala, Python;
Solid with Big Data technology: Hadoop, Spark, Kafka, Storm, Hive, Flink, etc;
Understanding kappa & lambda architecture;
Experience with data modeling, data integration, and business intelligence architecture;
Excellent in Cloud Stacks: AWS/GCP/Azure;
Strong knowledge of NoSQL DBs: Cassandra, MongoDB, etc;
Solution architecture: requirements elicitation, architectural tactics, and patterns, modeling languages, methods/framework for architecture design and evaluation;
 
Responsibilities:

Delivery of technology consulting projects (e.g. transformation strategies and implementation roadmaps, solution architecture design, technology and architecture assessments);
Participate in the early stages of the customer engagement - supporting sales, account management, presales, and engagement teams in opportunity qualification, needs assessment, solution design, proposal preparation;
Contribute to the establishment of Solution Architecture governance processes for our key solution engineering projects;
Elevate company's image in the Big Data and Data related fields, participating in conferences/webinars, contributing to articles/whitepapers, owning thought leadership for the aforementioned fields;
Contribute to the development of the company’s solution architecture design and technology consulting capabilities;

We Offer:

Flexible work Schedule and Remote policy;
New office with areas for recreation, well-staffed kitchen facilities, shower, covered bike parking;
Compensation of medical service;
Sport compensation: gym-membership reimbursement, small gym on-site;
Language school;
Compensation of training: our employees can participate in the training given by external and internal experts;
PE accounting and support;
Presents for life events.