Data Architect

Location: Hybrid Remote in Atlanta (3 days onsite/week).

Employment Type: Permanent / Direct Hire / Full-time

Salary: Up to $220,000 (depending on experience) + bonus

Benefits:

• Comprehensive healthcare coverage (medical, dental, vision, life, supplemental)
• Short- and Long-Term Disability (STD/LTD)
• HSA & FSA options
• Paid Time Off (PTO)
• 401(k) retirement plan

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.