Senior Data Architect

2 months ago

Tampa, United States New Wave Staffing Full time

This job is being posted by New Wave Staffing on behalf of our client.


About New Wave Staffing


At New Wave Staffing, we're not just another staffing firm; we're dedicated talent partners. Our mission is to connect exceptional talent with outstanding opportunities, ensuring that talent's career aligns perfectly with their ambitions. We specialize in data roles, bringing a personalized touch to every placement. We prioritize the interests of our talent, offering a unique agent-like approach that goes beyond traditional recruitment. We're here to champion your career growth and guide you toward fulfilling career prospects, making your journey a seamless and rewarding one.


About our Client


Our client is a leading independent global professional services firm, specializing in providing turnaround management, performance improvement and corporate advisory services. With more than 3,000 professionals based in 40 locations across North America, Europe, Asia, and Latin America, our client excels in problem solving and value creation. Drawing on a strong operational heritage and hands-on-approach, they work closely with organizations and stakeholders to help tackle complex business issues and maximize value.


Description


Our client is looking for a Data Architect to join their corporate IT team. You'll help design and expand the internal data warehouse and business intelligence functions, support of over 18 different business lines. You'll design, build, and enhance the SQL data warehouse, ETL processes, Azure environments as well as troubleshoot data and database issues. Successful applicants posses a very fine eye for detail, experience in the Azure data stack, and deep understanding of data architecture fundamentals.


Responsibilities:


  • Design, commission and enhance new/current subject areas.
  • Implementing new or upgraded cloud data strategies and Azure platforms.
  • Create Entity Relationship diagrams and write relational database queries.
  • Create database objects and maintain referential integrity.
  • Managing master data, including creation, updates, and deletion.
  • Design, implement and help maintain ETL migrations to Azure Data Factory.
  • Processing confidential data and information according to strict guidelines defined by the subject area owners.
  • Provide quality assurance of imported data, working with business stakeholders and business analysts.
  • Participate in peer design reviews and development sessions within the team.
  • Develops data models and is responsible for data acquisition, access analysis, archive, recovery, load design and implementation.
  • Supporting initiatives for data integrity and normalization.
  • Collaborates with internal customers to capture requirements.
  • Design, create, document, manage and fulfill user requests for new or existing datasets.
  • Adhere to SDLC processes and standard to ensure proper coding practices are adhered to.
  • Training end users on new data elements.
  • Providing technical expertise on data storage structures, data mining, and data cleansing.
  • Apply best of breed data pipeline and data model design patterns to achieve robust and flexible data solutions.


Data Architect Requirements:


  • Bachelor’s degree or equivalent from an accredited institution in computer science.
  • Work experience as a data architect or in related field.
  • Prior professional services experience preferred
  • Strong Azure data stack experience
  • Well versed in Data Structures algorithms
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in methodologies and processes for managing large scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • High-level written and verbal communication skills.
  • Knowledge of building modern data reporting solutions in cloud technologies including Power BI a plus
  • Knowledge of Enterprise Data, Data Warehousing, Azure Cloud Data platforms
  • Integration experience with multiple source systems such as Salesforce, custom developed systems using REST API.
  • Modeling warehousing and ETL methodology making use of cloud-based technologies in the Microsoft Stack (Microsoft SQL Server along with complementary technologies such as Azure Data Studio, Azure Data Factory, Blob Storage)

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