Architect-Cloud - Azure DWH,BI-ETL - Iselin, United States - Persistent Systems LLC (New York)

    Persistent Systems LLC (New York)
    Persistent Systems LLC (New York) Iselin, United States

    1 month ago

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    Description
    "Pre-Sales - Data Engineer Roles and Responsibilities

    • Own and front-end technical discussions, demonstrations, presentations etc to clients across various stakeholders from C-level to data engineers
    • Work along with the sales and help sales team in closing deals
    • Work with the client engagement team to pro-actively identify opportunities in data technologies
    • Understand customer requirements, providing technical solutions and defining roadmap
    • Define and review data architecture solutions, processes, capacity planning, standards, and best practices - both on-premises/cloud
    • Design data migration architectures and best practices for customers
    • Provide solutions considering various architectural concerns e.g. Data Governance, Master Data Management, Meta-Data management, Data Quality Management, data security and privacy policies and procedures
    • Analyze and design highly scalable DW and BI solutions
    • Keeping abreast with latest developments in the industry; evaluating and recommending new and emerging data architectures/patterns, technologies, and standards
    • Assisting in the pre-sales process including: o Responding to RFI/RFPs and crafting thorough and compelling answerso Work along with the sales and client engagement teams and front-end the technical engagemento Providing technical solutions, assist in defining scope and sizing of work.
    o Delivering and/or directing pre-sales engagements to prove functional capabilities (POC's or POV's)o Develop statements of work and/or client proposals Experience:


    • 12+ years relevant data, big data, and analytics experience; 2-3+ years' experience in pre-sales role
    • Functionally knowledgeable in multiple EDW, big data & NoSQL - both on-premises/cloud
    • Hands on experience in Snowflake, Big Data ecosystem (such as Hadoop, Spark, Presto, Hive), database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), Data Warehouses (such as Redshift, Teradata, Exadata)
    • Proven track record in developing data strategies (including cloud) and best practices
    • Strong verbal and written communication and presentation skills; able to present highly technical subject matter across a variety of stakeholder levels

    Education:

    B-Tech/BEPreferred Qualification:

    • M-Tech or MBA in IT/Systems preferred
    • AWS and/or Azure experience & certification
    • Experience in BFSI or healthcare domain"