Position: Big Data Architect
Company: Luxoft
Category: Data Engineer
Experience required: 5y
English level: upper

You will be responsible to make sure the standard solutions and services deployed integrate with the existing landscape in a proper and documented way.

Responsibilities:
Be a senior visionary, who translate business requirements into technology requirements and define data standards and principles,
Be responsible for visualizing and designing an organization's enterprise data management framework (including the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data).
Provide a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,
Be ultimately responsible for the technical solution architecture during the program/project life cycle phases.
Responsible for hands on implementation.
leadership in the creation and delivery of technology solutions designed to meet customers’ business needs and, consequently, for understanding customers’ businesses.
Break down large problems, develop multiple approaches to solution, and deliver data-driven insights.
Carry out and/or overseeing solution design and documentation
Utilize understanding of industry solution trends to innovate and provide new project/product ideas within the investment lifecycle.
Shape technical direction and technical strategies within the organization and for external customers.
Analyze, designing and implementing databases, information models and data pipelines.
Building analytics solutions that provide valuable insights for clients and end users.
Work in an agile project team which has specific goals and deliverables.

Mandatory Skills Description:
-Excellent interpersonal communication and organizational skills to contribute as a leading member of global, distributed teams focused on delivering quality services and solutions for the global Manufacturing footprint
-Understand the desired business outcome and define solutions architecture in order to meet those.
-Bachelor’s or Master ’s degree Computer Science, Mathematics, Physics, Engineering, or equivalent experience.
-6 + years of experience in assessing the digital landscape and architecture currently in place and work with different functions on how to enable solutions to business needs.
-Experience in writing business/or system requirements
-Assess the business impact that certain technical choices have and provide guidance to development organizations.
-Experience in Data Engineering, Data Wrangling and Preprocessing, Data Storage in Distributed File Systems, Azure SQL, Azure DataBricks/Spark, Azure Data Factory, Transactional & Time Series Data
-Knowledge, Programming Skills (Python, Scala, R)

Nice-to-Have Skills:
- In-depth, hands on experience in defining and implementing a DevOps practice
- Experience with one or more DevOps practice management, backlogs, CI/CD, automation and containerization technologies such as K8S, Redhat OpenShift, Terraform and relevant Microsoft Azure or Amazon Web Services technologies
- Experience in software development and agile practices with multiple programming languages, advantageous if with C#, Java, JavaScript, Python and R
-Experience in Cloud Native Architectures, REST and APIs, Microservices, Git, Docker, K8S, SQL, NoSQL, Messaging
-Experience in Cloud Computing, as well as Edge Computing with relevant Public Cloud IaaS and PaaS services, advantageous if with infrastructure architecture and best practices experience
-Possess Certifications in Data Vault Modelling, IIBA BABOK, TOGAF, Zachman, ARIS, PMP, or similar certifications