Cloud Data Architect
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Job Description
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.
Responsibilities:
- 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:
- 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:
- Remote work from home
- Monday through Friday availability (specific hours depend on client needs)
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