Symhas

Sr Workato Integration Tech Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Workato Integration Tech Lead, a 6-month contract position with a pay rate of "XX" per hour. Key skills include Workato, MDM, ETL, and cloud platforms (AWS, GCP). Experience in data pipeline orchestration and Ruby is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Denver, CO
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🧠 - Skills detailed
#MDM (Master Data Management) #Automation #Data Mapping #Data Pipeline #Batch #"ETL (Extract #Transform #Load)" #Oracle Cloud #Consulting #Snowflake #Scala #GCP (Google Cloud Platform) #Ruby #SAP #AWS (Amazon Web Services) #Strategy #Security #Oracle #Cloud #Monitoring
Role description
Company Description Founded in 2023, Symhas is a cutting-edge Cloud consulting company specializing in AWS, GCP, Microsoft, and Oracle Cloud transformation solutions. Known for its precision and expertise, Symhas is dedicated to building customer trust by delivering tailored solutions. The company helps enterprises modernize their cloud environments with agility, scalability, and reliability. Symhas is committed to empowering businesses to embrace next-generation cloud technologies with confidence. Key Responsibilities Platform Strategy & Governance: Serve as the SME for the Workato and/or Reltio Integration Hub (RIH), defining global strategy for recipe architecture, security frameworks, and lifecycle orchestration between Reltio MDM and core enterprise systems (e.g., Salesforce, SAP, Snowflake). High-Performance Architecture (Batching): Architect and deploy high-efficiency recipes leveraging Batch Action patterns (e.g., Bulk Upsert, Bulk Search) to maximize data throughput. Operational Cost Optimization: Drive a cost-reduction strategy by refactoring legacy iterative β€œFor Each” loops into batch-oriented workflows, significantly lowering platform task consumption. Full-Lifecycle Recipe Engineering: Design and build complex, event-driven automation flows utilizing advanced trigger logic, Ruby-based formulas, and multi-step error handling to ensure resilient data exchange. Data Pipeline Orchestration: Build and scale robust, real-time and scheduled ETL/ELT pipelines. Oversee complex data mapping and transcoding (RDM) within the integration layer to ensure high-fidelity data movement into the MDM Golden Record. Monitoring & Operational Intelligence: Monitor system health and job performance via centralized dashboards. Proactively manage the Task Consumption Budget and implement automated recovery logic for failed integration jobs.