Data/Information Architect

Robert Half

Job Description

Ref ID: 01310-0011897400

Classification: Data/Information Architect

Compensation: DOE

Robert Half Technology has a client who is looking for a Data Architect for a 100% contract role. Below are the duties and responsibilities, apply if you are interested, or pass along to your network.


  • Strategize, roadmap, and execute on the Client's future analytics & reporting architecture vision
  • Maintain and enhance data lake platform acquiring additional data sources – structured and unstructured
  • Maintaining existing data warehouse Reporting / SQL Server architecture, implement tactical improvements on the existing architecture minimizing accumulating further technical debt, and lead the implementation of the future reporting architecture.
  • Lead the reporting data structure design and oversee the design phases of the projects assuring that design conforms to established architecture design guidelines and standards
  • Understand data consumption across various functions (Marketing, Finance, Compliance) and their data usage variations.
  • Coordinate with the Product Data Analyst for data gap mitigation.
  • Inventory and analyze legacy BI services (reports, extracts, etc.) and develop strategy & roadmap to migrate legacy BI services to the Data Lake.
  • Work with the various teams to integrate the Lake with BI/reporting tools.

Job Requirements


  • Minimum of 5 years related work experience within the Financial Services Industry.
  • 5+ years of relevant experience in the Analytics domain with at least 1 year in Digital Analytics.
  • 5+ years of data analysis, data modeling, and data management experience.
  • Experience with building a data lake over Cloud / Azure, ADF, Synapse
  • Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.)
  • Drive projects that merge digital and transactional data for advanced analytics.
  • Experience implementing Data Lake projects.
  • Experience building web services is a plus.
  • Functional knowledge of financial instruments such as Installment Loans, Payday Loans, and data domains such as loans, underwriting, collection, promotions, call center data, Fraud, etc.


  • Must have Azure / Synapse, / ETL & ADF skills
  • Establish data quality control framework while sourcing data
  • Data analysis using SQL is mandatory.
  • Tableau (preferred), Power BI, Qlik
  • Analyze digital data generated and build visualizations.
  • Experience in AI, BI, and Data Lake projects.
  • SQL Server / SSIS experience. Exposure to No SQL databases

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