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    Big Data Architect - New York, United States - First Derivative

    First Derivative
    First Derivative New York, United States

    3 days ago

    Default job background
    Description
    Who are we?

    First Derivatives (FD) is a leading software and services company, with world-leading intellectual property in ultra-high-performance analytics (KX) across industries, and extensive domain expertise and capabilities in capital markets systems and technology (managed services and consulting).

    Big Data Architect – FX Trading


    Job Description:


    Our client within Global Markets is embarking on a major data transformation initiative in the FX Sales & Trading domain.

    The goal of the transformation is to retire multiple disjointed legacy data marts and build a consolidated modern data lake house platform using big data technologies.

    The new platform will be leveraged by other internal applications as well as end users for BI and analytics.

    The role involves building the new platform along with coordinating with all consuming application teams and end consumers to migrate them to the new platform.

    This role requires a combination of skills across business analysis, FX domain expertise, big data technical architecture, project management, people management, stake holder management and driving consumer adoption.


    Responsibilities:

    • Deep expertise in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
    • Prior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologies
    • Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management
    • Lead a team of business analysts, data architects and data engineers to architect and deliver the solutions that fulfil the Business information needs and align with the information vision and strategy
    • Apply business strategy while driving technology strategy, balancing short term and long term needs to ensure that the architecture can scale and evolve accordingly
    • Engage an end-to-end approach by connecting all the pieces of data and deliver a streamlined model
    • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines
    • Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops.

    Requirement:

    • Minimum 15 years of progressive information management solutions and end-to-end development life-cycle support and SDLC processes
    • An in depth understanding of Cloud solutions (AWS, Azure and/or Google Cloud Platform) and experienced in integrating into traditional hosting/delivery models
    • Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Data bricks, Snowflake, Data Stage, ETL, Tableau, QlikView, AI/ML techniques, Core Java, Impala, Hive etc.
    • Minimum eight years leading a team including business analysts, architects, engineers, quality assurance, and operations professionals
    • Bachelor's degree in computer science or relevant field from an accredited college or university; Master's degree from an accredited college or university preferred.
    • Established experience delivering information management solutions to large numbers of end users.
    • Experience in Financial Services domain, specifically in FX Trading is strongly preferred
    • Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
    • Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, and dimensional data modelling such as OLAP, or data vault
    • Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques
    • Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools


    KX technology is designed to capture and analyze data to make real-time decisions in a world where data volumes generated by markets and machines are increasing exponentially, and existing technologies fail due to technological or commercial limitations.


    KX is widely adopted throughout the financial industry, and is poised for accelerated growth across high-tech manufacturing, automotive, oil and gas, utilities and telecommunications.

    Managed Services and Consulting

    FD provides a range of services worldwide to its clients in the capital markets sector, including many of the world's leading banks, focused on supporting mission-critical systems as well as helping them to achieve and maintain regulatory compliance.


    FD provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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