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

Core Competencies

Role fit

Core Competencies

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Expertise in cloud-native data architecture and modeling, with a focus on Lakehouse designs and scalable data solutions. Proven ability to lead modernization initiatives and mentor teams while ensuring data governance and security.

Highest-signal resume keywords

Cloud Data ArchitectureLakehouse DesignData Migration StrategySemantic Data ModelingELT/ETL Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModelingCloud Data EngineeringDistributed SystemsModern Data WarehousingData IngestionData TransformationData QualityData GovernanceMaster Data Management

Soft Skills

MentoringInfluencing Technical DirectionCross-Functional CollaborationCommunication

Tools & Technologies

SnowflakeAzureAWSDatabricksDelta LakeApache IcebergApache HudiIdentity and Access Management

Industry Keywords

Cloud InfrastructureBusiness IntelligenceAnalyticsData EcosystemReal-Time Data Processing

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)