EPAM Systems

Senior Big Data Architect

2 months agoZurich, Switzerland

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider - leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique 'Engineering DNA,' EPAM's globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people's lives. In 2021, EPAM was added to the S&P 500 and included among the list of Forbes Global 2000 companies.

Selected by Newsweek as a 2021 Most Loved Workplace, EPAM's global multi-disciplinary teams serve customers in more than 45 countries across five continents. As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune's 100 Fastest-Growing Companies list for the last three consecutive years. EPAM is also listed among Ad Age's top 25 World's Largest Agency Companies for three consecutive years, and Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing Firm.

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
  • EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
Additional
  • Please note that any offers will be subject to appropriate background checks
  • We do not accept CVs from recruiting or staffing agencies
  • For this position, we are able to consider applications from the following:
    • Swiss nationals
    • EU/EFTA nationals
    • Third-country nationals based in Switzerland with an appropriate work permit
    • Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits
Apply

Client-provided location(s): Zürich, Switzerland
Job ID: EPAM-60096