Data Architect

Location Hybrid Remote in Atlanta (3 days onsite/week). Salary Up to $220,000 (depending on experience) + bonus Benefits Short- and Long-Term Disability (STD/LTD) HSA & FSA options Paid Time Off (PTO) The Role We are seeking a highly skilled and hands‑on Data Architect to lead the design, implementation, and governance of a modern Azure-based Lakehouse and enterprise analytics platform. This role requires deep expertise in Azure data services, semantic modeling, and data governance to deliver scalable, secure, and AI‑ready data solutions. The ideal candidate will own end‑to‑end architecture, ensuring alignment with organizational goals and executive reporting needs. Responsibilities Architect and evolve a modern Azure Lakehouse platform (Databricks, Synapse, Fabric) using layered architecture principles such as Bronze/Silver/Gold. Own the analytics architecture from source ingestion through curated datasets, semantic modeling, and BI consumption. Design governed semantic models in Power BI or equivalent platforms, ensuring certified metrics and role‑based access controls. Implement Delta Lake architectures and layered data design patterns to optimize scalability and performance. Develop scalable ETL/ELT frameworks and orchestration pipelines using Python, Spark, and SQL. Define and enforce enterprise data governance frameworks, including metadata management, data lineage, and automated data quality monitoring. Implement security measures such as role‑based access controls, encryption, and compliance standards (HIPAA, SOX, SOC2). Lead and mentor data engineers, fostering adherence to CI/CD practices and architectural best practices. Partner with executive leadership to align data architecture with strategic reporting and operational KPIs. Required Skills 10+ years of experience in enterprise data architecture and engineering. Hands‑on expertise with Azure Data Lake Storage (ADLS), Azure Synapse Analytics or Microsoft Fabric, Azure Databricks (Spark/PySpark), and Azure Purview or equivalent governance tools. Proven experience implementing Delta Lake architectures and layered data design patterns. Advanced proficiency in Python, Spark, and SQL for data engineering and analytics workflows. Experience designing governed semantic models in Power BI or Azure Analysis Services. Demonstrated ability to implement metadata management, data lineage, and automated data quality monitoring. Experience building scalable, production‑grade ETL/ELT frameworks and orchestration pipelines. Knowledge of enterprise data governance frameworks, including PII/PHI handling and compliance standards. Preferred Skills Experience building streaming ingestion pipelines using Azure Event Hubs, Kafka, or equivalent technologies. Designing telemetry pipelines and near‑real‑time analytics workflows. Experience preparing structured and unstructured datasets for AI/ML use cases. Exposure to vector databases, RAG pipelines, or knowledge graph integrations. Experience supporting multi‑entity, multi‑domain, or SaaS‑style data platforms. Familiarity with data mesh or data fabric concepts. #J-18808-Ljbffr