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Data Ideology, LLC

Cloud Data Architect

Data Ideology, LLC

Cloud Data Architect designing cloud-native data platforms for business insights at Data Ideology. Leading modernization efforts and supporting enterprise data systems with scalable solutions.

Posted 7/10/2026contractRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
ApacheAWSAzureCloudDistributed SystemsERPETL

About the role

Key responsibilities & impact
  • Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI
  • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems
  • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production
  • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL)
  • Drive decisions across storage, orchestration, data quality, reliability, and performance
  • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards
  • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions
  • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams
  • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap
  • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike

Requirements

What you’ll need
  • 8+ years of experience in data architecture, data modeling, or cloud data engineering
  • Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks
  • Deep understanding of distributed systems, data architecture, and modern cloud infrastructure
  • Experience with Lakehouse architecture and platforms (Delta Lake, Apache Iceberg, Apache Hudi)
  • Demonstrated success designing semantic data models for reporting and analytics at scale
  • Experience leading or supporting large-scale data migrations, from discovery through cutover, and building systems from concept through production
  • Strong grounding in modern data warehousing, ELT/ETL, and cloud architecture best practices
  • Proven ability to navigate ambiguity, influence technical direction, and drive clarity across cross-functional teams

Benefits

Comp & perks
  • Remote work from home
  • Monday through Friday availability (specific hours depend on client needs)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data ArchitectureData ModelingCloud Data EngineeringDistributed SystemsModern Data WarehousingData IngestionData TransformationData QualityData GovernanceMaster Data Management
Soft Skills
MentoringInfluencing Technical DirectionCross-Functional CollaborationCommunication