Senior Cloud and Data Architect (Azure, AWS, GCP, Snowflake, Databricks)

Latest posts by Paul Hawkins
    • Permanent
    • London
    • Start Date: ASAP
    • Duration: Permanent
    Salary/Rate: £120,000 - £150,000 basic salary

    Senior Cloud and Data Architect (Azure, AWS, GCP, Snowflake, Databricks)

     

    Responsibilities:

    15 years of total experience in DWBI, Big Data, Cloud Technologies

    Implementation experience and hands on experience in various Cloud technologies Azure, AWS, GCP

    Data Analytics: 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 ETL skills, Data Modeling Skills

    Ability to define the monitoring, alerting, deployment strategies for various services.

    Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools.data.

    Examine and identify database structures, 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.

    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.

    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.

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