Argyll Infotech Enterprise Pvt Ltd

Enterprise Data Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Enterprise Data Specialist with a contract length of unknown duration, offering $80/hr on C2C. Located in various cities, it requires 10+ years in data architecture, 3+ years in insurance, and expertise in SAP and SQL.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
October 31, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Corp-to-Corp (C2C)
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - Skills detailed
#Deployment #Data Ingestion #SQL Server #Informatica #Scripting #SAP #EDW (Enterprise Data Warehouse) #SQL (Structured Query Language) #Scala #Data Integration #BI (Business Intelligence) #Physical Data Model #MS SQL (Microsoft SQL Server) #Data Architecture #Data Warehouse #"ETL (Extract #Transform #Load)" #RDBMS (Relational Database Management System) #Statistics #Data Mapping
Role description
Hi Everyone, Greetings! Hope you are doing well, Please find below the details & let me know if you are Interested in this position. please share profile to careers@argyllinfotech.com Job Description: Enterprise Data Specialist Location(s): Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Lenexa, KS; Los Angeles, CA; Lubbock, TX; Morristown, NJ; Mt. Juliet, TN; New York, NY; Purchase, NY; Topeka, KS Department: Data Architecture Reports To: Greg Hotakov Sompo International Rate: 80$ hr on c2C Visa : USC , GC Only locals Role Summary Skills : SAP Expert AND Genies The Enterprise Data Specialist will be responsible for designing, modeling, and implementing enterprise data warehouse (EDW) solutions that support core business functions. This role will focus on data architecture, integration, and modeling to ensure data consistency, integrity, and availability across the organization. The specialist will work closely with business stakeholders, IT teams, and data development groups to deliver robust and scalable solutions that enhance operational efficiency and enable advanced analytics. Key Responsibilities Partner with business stakeholders and IT teams to define, document, and deliver data architecture and modeling solutions. Architect and design enterprise data warehouse solutions, sourcing data from multiple insurance and reinsurance policy, treaty, claims, and financial systems. Develop Source-to-Target (S2T) mappings optimized for high-volume data integration. Create and maintain logical and physical data models on SQL Server platforms. Collaborate with development teams to ensure accurate translation of data mappings into code. Design and implement data ingestion, collection, and validation strategies using SQL-based solutions. Build SQL Server views to support reporting and dashboard development. Support business reporting teams in leveraging enterprise data models for analytics. Troubleshoot, tune, and optimize SQL, ETL processes, and Informatica mappings. Participate in release planning, testing, and post-deployment validation. Technical Qualifications 10+ years of experience in data architecture, design, and enterprise data warehouse development. 3+ years of experience in the insurance and reinsurance domain. Advanced expertise in extracting data from insurance applications. Strong knowledge of ETL, BI architecture, and data warehousing concepts. Proficiency in creating and tuning semantic layer reporting views. Experience facilitating data discovery sessions with business SMEs. Hands-on experience with RDBMS platforms (SQL Server, DB2, etc.) and DDL scripting. General Qualifications Excellent interpersonal, verbal, and written communication skills. Ability to work effectively in a team-oriented environment. Strong organizational and analytical skills. Knowledge of insurance and financial applications, particularly Guidewire Policy Center, Guidewire Claims Center, SAP FS-CD, and SAP FI-GL. Education Requirements Bachelor’s degree in Computer Information Science, Information Management, Statistics, or a related field.