Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
O'Fallon, MO
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Data Security #Documentation #Security #Athena #Data Ingestion #Migration #Data Architecture #GDPR (General Data Protection Regulation) #Data Pipeline #Collibra #Business Analysis #Cloud #Strategy #Informatica #Data Lake #Data Migration #"ETL (Extract #Transform #Load)" #Data Management #PCI (Payment Card Industry) #Data Governance #Redshift #Metadata #AWS (Amazon Web Services) #Unix #Compliance #Data Warehouse #Data Modeling #Storage
Role description
Role : Data Architect Location: O'Fallon, MO 63368 ( Any PSL Location with flexibility to travel to client location for meetings) Experience: 9+ years Engagement Type: Contract Required Skills & Experience: 10+ years in data architecture roles, with experience in both legacy and cloud-native environments. Strong understanding of mainframe data formats (EBCDIC), COBOL copybooks, and Unix-based data systems. Hands-on experience with AWS data services: Glue, Redshift, Lake Formation, S3, Athena, EMR. Experience with ETL/ELT tools, data modeling (dimensional, normalized), and data pipeline orchestration. Familiarity with data governance tools (e.g., Collibra, Informatica), and metadata management. Knowledge of data security, encryption, and compliance frameworks (e.g., GDPR, PCI). Strong analytical, documentation, and communication skills. Key Responsibilities: Analyze legacy Data platform, data formats (EBCDIC, VSAM), schemas, and storage mechanisms. Design future-state data architecture including data lakes, data warehouses, and real-time streaming pipelines. Define data ingestion, transformation, and consumption patterns using AWS services (Glue, Redshift, Kinesis, EMR, Athena). Collaborate with Enterprise Architect and Business Analyst to align data architecture with business and technical goals. Establish data governance, lineage, and metadata management frameworks. Support data migration strategy, including mapping, cleansing, and validation. Ensure data security, privacy, and compliance with Mastercard’s standards.