Responsibilities:16-18+ years of total experience in DWBI, Big Data, Cloud TechnologiesImplementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, DatabricksMust Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent).In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc.Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response.Ability to be a SPOC for all technical discussions across industry groups.Excellent design experience, with entrepreneurship skills to own and lead solutions for clients.Excellent ETL skills, Data Modeling Skills.Excellent communication skills.Ability to define the monitoring, alerting, deployment strategies for various services.Experience providing solution for resiliency, fail over, monitoring etc.Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools.Design and implement effective database solutions and models to store and retrieve data.Examine and identify database structural necessities by evaluating client operations, applications, and programming.Ability to articulate and write POVs on new and old technologies.Ability to recommend solutions to improve new and existing database systems.Assess data implementation procedures to ensure they comply with internal and external regulations.Install and organize information systems to guarantee functionality.Prepare accurate database design and architecture reports for management and executive teams.Oversee the migration of data from legacy systems to new solutions.Educate staff members through training and individual support.Offer support by responding to system problems in a timely manner.Qualifications:Strong knowledge of database structure systems and data mining.Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques.Proficiency in data modeling and design, including SQL development and database administration.Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.Excellent organizational and analytical abilities.Outstanding problem solver.Good written and verbal communication skills.A minimum of 5 years’ experience in a similar role.Ability to lead and mentor the architects.Required Skills:Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF.Preferred Skills:Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools.Note: This is a senior-level, in-house opportunity focused on Data Architecture, Cloud technologies, and Presales activities, including contributions to RFPs and RFQs. The role requires working five days a week from Client’s London office. We are seeking candidates with a background in service-based companies and a demonstrated history of long tenures at previous organizations.
Senior Cloud and Data Architect employer: LinkedIn
As a Senior Cloud and Data Architect at our London office, you will join a dynamic team that values innovation and collaboration. We offer a supportive work culture that encourages professional growth through continuous learning and mentorship, alongside competitive benefits that promote work-life balance. Our commitment to cutting-edge technology and client-focused solutions makes us an exceptional employer for those seeking meaningful and rewarding careers in the tech industry.
