InstantServe LLC
Data Architect (Required Security Clearance)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with an active U.S. Secret Clearance, requiring 8+ years in data architecture and 5+ years in AWS. Responsibilities include designing cloud-based solutions, building ETL pipelines, and mentoring teams. Contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Yes
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Computer Science #"ETL (Extract #Transform #Load)" #Kanban #Lambda (AWS Lambda) #Redshift #GCP (Google Cloud Platform) #Data Catalog #Cloud #Data Warehouse #Data Engineering #Data Governance #Agile #Scrum #Security #Metadata #Data Lake #Data Lineage #Scala #Data Management #Azure #S3 (Amazon Simple Storage Service) #Data Architecture #Jira #AWS (Amazon Web Services)
Role description
Must hold an active U.S. Secret (or higher) Clearance.
Responsibilities:
• Design and implement scalable cloud-based data architecture aligned with Data Mesh principles.
• Develop and maintain AWS data solutions using S3, Redshift, Glue, Lake Formation, and Lambda.
• Build ETL pipelines and domain-specific data products for analytics and self-service reporting.
• Establish data governance, metadata management, data catalog, security, and data lineage.
• Support Data Mesh platform operations, reliability, and cross-domain integration.
• Collaborate with stakeholders and data teams to align technical solutions with business needs.
• Work in Agile environments using Scrum, Kanban, Jira, Confluence, and SAFe.
• Mentor team members and provide technical guidance and training.
Qualifications:
• 8+ years of experience in data architecture, including Data Lakes, Data Warehouses, and Data Mesh.
• 5+ years of hands-on experience with cloud platforms, preferably AWS (Azure/GCP also acceptable).
• 2+ years of experience leading or mentoring data engineering teams.
• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field (preferred).
Must hold an active U.S. Secret (or higher) Clearance.
Responsibilities:
• Design and implement scalable cloud-based data architecture aligned with Data Mesh principles.
• Develop and maintain AWS data solutions using S3, Redshift, Glue, Lake Formation, and Lambda.
• Build ETL pipelines and domain-specific data products for analytics and self-service reporting.
• Establish data governance, metadata management, data catalog, security, and data lineage.
• Support Data Mesh platform operations, reliability, and cross-domain integration.
• Collaborate with stakeholders and data teams to align technical solutions with business needs.
• Work in Agile environments using Scrum, Kanban, Jira, Confluence, and SAFe.
• Mentor team members and provide technical guidance and training.
Qualifications:
• 8+ years of experience in data architecture, including Data Lakes, Data Warehouses, and Data Mesh.
• 5+ years of hands-on experience with cloud platforms, preferably AWS (Azure/GCP also acceptable).
• 2+ years of experience leading or mentoring data engineering teams.
• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field (preferred).
