Data Architect

3 weeks ago


Milwaukee, United States Compunnel Inc. Full time

Job Title: Data Architect

Location: Milwaukee, WI - Hybrid – 2 to 3 days work from office

Type: Direct inhouse requirement - Contract-to-hire with a contract period of minimum 1 year with possibility of extension.


Interview Process: Please note these are all going to be Video Conference and if the candidate is comfortable, we can arrange an in-person interview as well.

  • First - 30 mins with some of their inhouse SMEs
  • Second - 45 – 60 mins Screen Share round where they will provide a live activity to work on.
  • Third round 15 – 20 mins with reporting manager – just cultural alignment and expectation setting.


Current needs for a Data Architect:

  • Excellent leadership capabilities.
  • Cloud experience. Primarily in Snowflake/DBT/ Fivetran
  • Traditional on-prem SQL Server data warehousing architecture, design, modeling. (3NF)
  • Snowflake and related Snowpark toolset
  • Fivetran
  • DBT
  • Python
  • PowerBI Service and PowerBI on-prem
  • Azure Private vnet and Private Links


What we look for:

  • Seeking candidates with approximately 10- 15 years of experience in Data Solution delivery in a complex environment working collaboratively in a team setting
  • This is a hybrid opportunity in the Milwaukee area with 2-3 days onsite per week at our Headquarters.
  • Proficient in Data Solution tools and concepts such as:
  • Business Intelligence tools: Alteryx, Microsoft tools (SQL Server Management Studio, SSRS, SSAS, SSIS, Power Pivot, Power Query, PowerBI)
  • Database: SQL Server, Azure SQL Database, Azure Data Lake, Azure Synapse
  • Data Query tools: SQL, T-SQL, Azure Data Studio
  • Data Modeling: ER/Studio Data Architect, 3NF and dimensional modeling
  • Data Integration tools: SSIS, Azure Data Factory, Azure Synapse Pipelines
  • Data Warehousing concepts: Inmon, Kimball, Data Lake, Data Lakehouse
  • Data Integration concepts and strategies: EII, ETL, EL-T, SOA, and EAI
  • Reference Data Management
  • Data Management and Quality: data mapping, data profiling, data catalog, relational data modeling, master data management, data governance
  • Data Formats: csv, pipe-delimited, JSON, XML, Parquet.


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