5 of 5 Big Data Architect Jobs in London

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science … Work with engagement managers to scope a variety of professional services work with input from the customer. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. … and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer More ❯

For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer … definition, effort and cost estimation, Past experience in dealing with partners, tools vendors, etc. Business Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP … Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization More ❯

For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer … definition, effort and cost estimation, Past experience in dealing with partners, tools vendors, etc. Business Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP … Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization More ❯

platform based on Apache framework for Hadoop. Experience in integrating Infra-as-a-Code in their platform (Bespoke implementation from scratch) Experience of design & architect work for the open source Apache platform in hybrid cloud environment Ability to do debug & fix code in the open source Apache code and … to support all developers in migrating and debugging various RiskFinder critical applications. They need to be "Developers" who are expert in designing and building Big Data platforms using Apache Hadoop and support Apache Hadoop implementations both in cloud environments and on-premises. More ❯

platform based on Apache framework for Hadoop. Experience in integrating Infra-as-a-Code in their platform (Bespoke implementation from scratch) Experience of design & architect work for the open source Apache platform in hybrid cloud environment Ability to do debug & fix code in the open source Apache code and … to support all developers in migrating and debugging various RiskFinder critical applications. They need to be "Developers" who are expert in designing and building Big Data platforms using Apache Hadoop and support Apache Hadoop implementations both in cloud environments and on-premises. More ❯