Signify Technology

DOMO Migration Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DOMO Migration Engineer, a 3-month remote contract position requiring expertise in Domo, SQL Server, and Amazon Redshift. Key skills include data pipelines, ETL, UAT, and dashboard validation. Immediate start is needed.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 4, 2026
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #JDBC (Java Database Connectivity) #Dataflow #Migration #Datasets #SQL (Structured Query Language) #Documentation #UAT (User Acceptance Testing) #Data Pipeline #Redshift #BI (Business Intelligence) #Amazon Redshift #Data Lineage #Data Transformations #ODBC (Open Database Connectivity) #Security #SQL Server #Data Access
Role description
USA contract remote role 3 months duration asap start eeking an experienced Domo professional to support a major BI migration from an existing SQL Server environment to Amazon Redshift. This role focuses on rebuilding datasets, refactoring data transformations, validating dashboard accuracy, and ensuring a seamless cutover for business users with no interruption in reporting, security, or data accessibility. Key Responsibilities β€’ Rebuild Domo datasets to source data from Redshift using ODBC/JDBC connections, Workbench configurations, and federated query options while preserving scheduling, row-level security, and governance controls. β€’ Configure and optimize Redshift federated connections in Domo, including authentication, data pipelines, refresh cadence, and dependency orchestration. β€’ Refactor Magic ETL, DataFlows, DataFusion logic, and Beast Mode calculations to align with new warehouse structures, data models, and transformation conventions. β€’ Recreate and validate row-level access policies (PDP) so that authorized audiences retain correct filtered visibility after migration. β€’ Perform full dashboard parity checksβ€”including KPIs, filters, drill paths, alerts, and visual layoutsβ€”to confirm the Redshift-backed versions match the legacy system. β€’ Identify, document, and resolve discrepancies by collaborating with engineering and analytical stakeholders. β€’ Improve dashboard performance through tuning methods such as caching strategies, optimized dataflows, and partitioned dataset designs. β€’ Manage a structured migration tracker covering approximately 150 datasets and 50 dashboards, including status, validation evidence, issue logs, and sign-off checkpoints. β€’ Facilitate user acceptance testing, gather feedback, and deliver clear cutover documentation such as data lineage, support instructions, and release notes.