Cloud Data Architect

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Data Ideology, LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

🤖 Artificial Intelligence

Enterprise • Data Engineering • Artificial Intelligence

Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.

📋 Description

• 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)