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    Data Product Solution Architect - Quincy, United States - PeopleServe

    PeopleServe
    PeopleServe Quincy, United States

    3 weeks ago

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    Description
    Purpose


    The Data Product Architect will embed themselves in Data Product teams and support all aspects of data ingestion, data engineering, design, data modeling, data as a service and machine learning , guiding engineers and analytics teams such that the best decisions are being made at every turn and better quality data products are produced.

    The primary focus of the Data Product Architect is data modeling (business, logical, and physical), identification, design, definition, transfer, and access.

    The person in this position will have a consistent track record of working with multifaceted stakeholders by planning, designing, deploying, and sustaining cloud and on-premise data products and solutions.

    Proven knowledge of data, multiple information technology and software domains is very important.

    Shown ability to document and communicate decisions will be a key indicator of success, as will be an appetite for innovation, change, and continuous improvement.

    Duties And Responsibilities


    Lead the analysis, design, and implementation of a comprehensive business data product, with results that can be seamlessly expanded to address other Bank business domainsEmbed with feature teams during early design phases to consult on data, systems architecture, and API design decisions, ensuring consistent system and data modelsPlan, participate, design, review, and structure data design review sessions.

    Take accountability for ensuring all key design and compliance decisions are reviewed and approved before implementation following all data architecture guidelines setEnsuring adherence to proper data design and security for new cloud data platform and data products and new enhancement featuresResponsible for data model and schema documentation into governance systemsResponsible for canonical models for APIs, Event Streams, and Data as a ServiceParticipate in defining standards for data quality and creating data test and validation plansEmpower Data Product Squads to follow better design paths with automated quality engineering and automationRepresent the data products in the creation of enterprise data models and corporate data standardsStay up to date on relevant technologies, plug into user groups, and understand trends and opportunities to ensure we are using the best possible data-centric techniques and toolsAbility to manage, coach, develop, and motivate a team of Data, API, and Quality EngineersAbility to work in a cross-functional team and collaborate with multiple Data Product SquadsCollaborate with Data Science teams to power the machine learning platform to support modeling and servingCollaborate with Solution Architects from other products, Enterprise Architects to design better data products that fit the needs of the organizationQualifications


    Master's degree in computer science or technical field and master's degree in Technology and/or Business-related field; equivalent trainings/certifications/experience equivalency will be considered8 or more years of equivalent experience in relevant job or field of technology.

    5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly5 or more years' experience directly responsible for guiding, training, or onboarding team members in relevant technologies, capabilities, or skillsExperience designing and solutioning modern data platforms and solutionsStrong experience creating data architecture, data models using tools like ER Studio, ERWIN etcHands-on experience with cloud-based platforms like Azure Data Stack (Azure SQL, Data Factory, Analysis Services, Databricks, Azure DevOps, Azure EventHubs, etc)Customer focused and Solutions Oriented mindsetExceptional problem-solving and critical thinking skillsHands-on Experience with Data Streaming technologies like KafkaHands-on Experience with NoSQL databasesExperience with ETL tools, Databricks, SQL, SSAS and T-SQLLarge-scale design, implementation, and operations of OLTP, OLAP, DW, NoSQL and big data storage technologies such as SQL Server, Azure SQL, Azure SQL DW, PostgreSQL, CosmosDB, RedisCache, Azure Data Lake Store, Hadoop, Hive, MongoDB, MySQL, Neo4j, Cassandra, HBaseExperience with MPP architectureExceptional written and verbal communication and presentation skillsLeadership and teamworking skills

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