Cloud Data Presales Principal Architect

Permanent Opportunity 5x per Week in Office AVP or VP level 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