Senior Data Architect with/Cloud

We are looking to incorporate a person as a Senior Data Architect (w/Cloud) with the following characteristics:

* years of total experience in DWBI, Big Data, Cloud Technologies.
* Implementation experience and practical experience in at least 2 Cloud technologies - Azure, AWS, GCP, Snowflake, Databricks.
* Must have practical experience in at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent).
* Deep knowledge in key technologies such as 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, contributing anticipatively to the RFP response.
* Ability to be a single point of contact for all technical discussions through industry groups.
* Excellent design experience, with business skills to own and lead solutions for clients.
* Excellent ETL skills, Datamodelling skills.
* Excellent communication skills.
* Ability to define monitoring, alerting, and deployment strategies for various services.
* Experience providing solutions for resiliency, failover, monitoring, etc.
* Desirable working knowledge of Jenkins, Terraform, StackDriver, or other DevOps tools.
* Design and implement effective database solutions and models to store and retrieve data.
* Examine and identify structural database needs by assessing client operations, applications, and programming.
* Ability to articulate and write viewpoints on new and old technologies.
* Ability to recommend solutions to improve new and existing database systems.
* Evaluate data implementation procedures to ensure they comply with internal and external regulations.
* Install and organize information systems to ensure functionality.
* Prepare accurate database design and architecture reports for management and executive teams.
* Oversee data migration from Legacy systems to new solutions.
* Educate staff members through training and individual support.
* Provide support by responding to system issues appropriately.
* Strong knowledge of database structure systems and data mining.
* Knowledge of systems development, including system development life cycle, project and requirements management approaches, design and testing techniques.
* Proficiency in Datamodelling and design, including SQL development and database administration.
* Ability to implement common data management and reporting technologies, as well as Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
* Excellent organizational and analytical skills.