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