Role : Cloud Data Principal Architect, Advisor, head with Presales/RFP exp
Location :London UK, (5 days weekly Onsite)
Role Type : Permanent
Mandatory Skills : Big Data, Azure, AWS, GCP, Snowflake, Databricks, Data Modeling
Responsibilities
- 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies
- Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks
- Must 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.
Requirements
- 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, unstructure