Tableau Tech Lead
Job in
Des Moines, Polk County, Iowa, 50360, USA
Listed on 2026-06-02
Listing for:
3B Staffing
Full Time, Seasonal/Temporary
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Warehousing, Database Administrator
Job Description & How to Apply Below
Greetings!!!
This is Abhishek from Jconnect INC
. Below is the requirement with my client. Please let me know if you are available for this role.
Title:
Tableau Tech Lead
Location:
West Des Moines, Iowa
Duration:
Full Time
Job Description:
We are seeking a highly skilled Technical Lead to join our growing Data & Analytics team. This role is responsible for leading the design, development, and implementation of advanced BI solutions using Tableau and or Power BI, with a focus on integrating AWS based Databases, Redshift DW and S3 datalake
Exposure to migration from BO to either Tableau or Power
BI is a plus.
The ideal candidate will possess strong technical acumen, leadership qualities, and the ability to influence modern BI reporting strategies across the organization. support a key modernization initiative focused on transforming operational reporting through the implementation of new tools, data processes, workflows, and BI technologies. This role will be responsible for migrating legacy reports, developing new reporting solutions in either Tableau or Power BI, and contributing to overall reporting modernization efforts.
The ideal candidate brings strong Tableau and Power BI and SQL skills, hands-on experience with data modeling and DAX, and the ability to work effectively across technical and business teams in a fast-paced, Agile environment
• Strong hands-on experience with Tableau and Power BI (required), including data modeling Postgre
SQL, SQL, relational joins, data blending.
• Proficiency in SQL for querying, transforming, and validating data (required).
• Familiarity with additional BI tools such as Tableau and Business Objects (preferred).
• Experience with Jira and Agile development methodologies.
• Strong attention to detail and ability to independently troubleshoot data/reporting issues.
• Excellent communication skills and ability to explain complex data concepts to non-technical users.
Roles & Responsibilities
Semantic Model Design, Solution architecting and Implementation:
o Architect and maintain robust data models (datasets) with clearly defined measures, hierarchies, and calculated columns.
o Ensure adherence to modeling best practices, including the use of fact and dimension tables, role-playing dimensions, surrogate keys, and bi-directional filtering when appropriate.
o Design optimized relationships and data granularity alignment across tables to support accurate aggregations and slicing/filtering.
o Derive various model storage architectural patterns to fit into DW and Data Lake data landscape having performant and scalable model architecture.
o Good understanding of multi-Cloud Data architecture within AWS and Azure, cross cloud networking, data egress, data integration using Gateway installer to best design semantic model architecture.
o Understanding of Business Objects universe functionalities and BI platform migration from BO to Power BI is an added advantage.
o Build Tableau Data Model and relationships with star/snowflake schema architecture, understanding on semantic model build and tableau semantics tool.
o Utilize Tableau PREP for data shaping, transformation, and cleansing while ensuring query folding is preserved in Direct Query mode.
o Collaborate with data engineers to validate source-to-model mapping, and offload heavy transformation logic to upstream pipelines (e.g., Dataflows, Fabric, or SQL views) where appropriate.
o Ensure data lineage, traceability, and refresh reliability throughout the modeling layer.
o Use external tableau extensions like Super Table/Tableau Table to build paginated pixel perfect report having excel functions built-in.
Data Skills
• SQL - Writing queries, joins, and aggregations to retrieve and prepare data for Tableau.
• Data Modeling - Understanding relationships, joins, blends, and data sources and efficiently handling large datasets.
• Data Cleaning - Identifying and fixing data quality issues before visualization.
• Database Connectivity - Connecting Tableau to relational databases (MySQL, SQL Server, Oracle), cloud platforms (Redshift, S3 Data Lake), and APIs.
• Data Security - Implementing row-level security and user-level permissions.
• Automation…
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