Data Solution Architect

vor 17 Stunden


Zurich, Schweiz EPAM Systems Vollzeit

Are you an avid technologist who enjoys solving complex data and technical consulting challenges?

Are you hungry to thrive in an entrepreneurial environment as part of a rapidly expanding and very successful global engineering company?

If so, then EPAM is looking for a hands-on Big Data Solution Architect to be part of this continued acceleration to strengthen our business in Western Europe.

**What You’ll Do**:

- 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 some of the following areas:

- Data Management
- Data Storage
- Data Visualization
- Disaster Recovery
- Integration
- Operation
- Presale Support
- Security
- Strong cloud experience (AWS, Azure or GCP)
- Solid experience in continuous delivery tools and technologies, containers and resource management systems
- Able to lead Big Data initiatives on enterprise level and to architecture customer business transformations with data technologies
- Strong communication skills, including customer facing, pre-sales activities and team coordination
- Fluent English

**Nice to have**:

- Experience and hands-on with TB & PB scale analytics platform, understanding and theoretical knowledge for developing and building such kind of platforms
- Experience in high load and IoT Data Platform architectures and infrastructures
- Practical experience in performance tuning and optimization, bottleneck problem analysis
- 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

**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

Apply



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