Senior Big Data Architect

02.02.Specialist100%

Senior Big Data Architect

EPAM is committed to providing our global team of 36,700+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION

We are looking for a Big Data Solution Architect with 10+ years of IT experience, who has solid background with different platforms and strong focus on back-ends / high-load / real-time / Big Data / IoT / Cloud / Analytics Solutions.

Responsibilities

  • Work closely with business in identifying solution requirements and key case-studies/scenarios to architect data solution for business transformation

  • Lead Data and Big Data initiatives on enterprise level as adept of data technologies

  • Design data analytics solutions by utilizing the data technology stack with Big Data techniques

  • Conduct solution architecture review/audit, calculate and present ROI

  • Create and present solution architecture documents with deep technical details to customer and implementation teams

  • Participate in the full cycle of “pre-sale” activities to prepare technical proposals on customer requests: direct communications with customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to the customer and participate in technical meetings with customer representatives

  • Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"

  • Maintain a strong understanding of industry trends and best practices

  • Stay on cutting edge of data technologies and be the first one to propose & implement new technologies for the best business value of EPAM and its customers

  • Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in data field

  • Create and follow personal education plan in the technology stack and solution architecture

  • Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

  • Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python

  • Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, Presale Support, Security

  • Core professional expertise covers: Platform Architecture, Data Pipelines Architecture and Data Analysis, Infrastructure Deployment and Management, Security, Performance & Optimization

  • Strong in conducting architecture researches, designing, analyzing, presenting and implementation of technical solutions in enterprise data field to address business needs

  • Capable to ramp-up Big Data teams, kick-off Big Data projects (up to continuous delivery), lead & supervise high complexity implementations from requirements gathering to production support phases

  • Able to lead Data and Big Data initiatives on enterprise level and to architecture customer business transformations with data technologies

  • Driven towards success by a thirst for knowledge, staying expert in enterprise data technology field

  • Vast experience in high load and IoT Data Platform architectures and infrastructures

  • Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in cloud

  • Strong cloud experience (AWS, Azure, GCP) with architecting and leading the creation of automation frameworks to deploy Big Data and associated components as a service

  • Solid experience in continuous delivery tools and technologies

  • Extensive experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn

  • Experience and hands-on with TB & PB scale analytics platform, understanding and theoretical knowledge for developing and building such kind of platforms

  • Able to lead Big Data initiatives on enterprise level and to architecture customer business transformations with data technologies

  • Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments

  • Experience delivering data analytics projects and architecture guidelines

  • Strong in research, comparison and selection of tools / technologies / approaches to be used

  • Practical experience in performance tuning and optimization, bottleneck problem analysis

  • Strong communication skills, experienced in team coordination skills and solution implementation supervision

  • Good in Agile development methodology, Scrum in particular

  • Solid skills in business analysis, network/stack architecture, troubleshooting, support

  • Experienced in different business domains

  • Native German or French speaker. Fluent English

Technologies

  • Programming Languages: Java/ Scala; Python; SQL; Bash

  • Big Data stack: Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, Flume, Sqoop, Zookeper

  • NoSQL: Cassandra and HBase & superstructures (Phoenix/Tephra, TitanDB/JanusGraph/Tinkerpop/Gremlin, OpenTSDB, Kylin); CosmosDB; MongoDB

  • Queues and Stream processing: Kafka Streams; Flink; Spark Streaming; Storm; Beam; Event Hub; IOT Hub; MQTT; Storage Queues; Service Bus; Stream Analytics

  • Background in traditional data warehouse and business intelligence stacks (ETL, MPP Databases, Tableau, Microsoft Power BI, SAP Business Objects)

  • Data Visualization: Power BI, Tableau, QlikView

  • Operation: Cluster operation, Cluster planning

  • Flow Management: Apache Oozie, Informatica Big Data, Talend, Airflow, Streamset, NiFi

  • Search: Solr, Elasticsearch/ELK

  • InMemory: Ignite, Redis, Druid

  • Solid Cloud experience with 2 or more leading cloud providers (AWS/Azure/GCP) and reference architectures: Storage; Compute; Networking; Identity and Security; NoSQL; RDBMS and Cubes; Big Data Processing; Queues and Stream Processing; Serverless; Data Analisis and Visualization; ML

  • Big Data Architecture design patterns: Lambda, Kappa, Data Lake, Enterprise Data Warehouse; Event Grids

  • Architecture concepts: Application Design; Integration Design; Layered Architecture; Synthesis of Solutions; Architecture Bugs evaluations

We offer

  • Competitive compensation depending on experience and skills

  • Knowledge-sharing across EPAM's global Tech Communities

  • Unlimited access to LinkedIn learning solutions

  • Relocation support as per EPAM relocation policies

  • EPAM Community with regular corporate and social events

  • Career growth, performance and compensation reviews

Additional

  • Please note that any offers will be subject to appropriate background checks

  • We do not accept CVs from recruiting or staffing agencies

  • Due to the Swiss labour legislation we can only accept applicants who have a valid right to work in Switzerland

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