Data Architect (Azure + Databricks)

We are hiring an experienced Data Architect with deep expertise in Azure, Databricks, and Apache Spark to join a high-impact enterprise data transformation initiative. This is a hands-on architecture role where you’ll be responsible for designing scalable data platforms while actively building, coding, and optimizing production-grade solutions., * Design scalable, secure, and cost-efficient enterprise data architectures on Azure and Databricks.

• Build and implement modern data lakehouse solutions using Delta Lake and Medallion Architecture.
• Develop production-grade data pipelines using PySpark, Scala, SQL, and Apache Spark.
• Optimize Databricks clusters, Spark workloads, and platform performance.
• Design streaming and batch processing solutions using Event Hubs, Kafka, and Structured Streaming.
• Implement data governance, security, and metadata management using Unity Catalog and Azure Purview.
• Conduct architecture reviews, code reviews, and mentor engineering teams.
• Collaborate with business and technical stakeholders to translate requirements into scalable solutions.
• Drive best practices around DevOps, Infrastructure as Code, CI/CD, testing, and observability.

If you’re an architect who enjoys coding or a senior data engineer ready to lead architecture, we’d love to hear from you., * 8+ years of Data Engineering/Data Architecture experience.

• Expert-level experience with Azure Data Services:
• Azure Data Lake Storage (ADLS)
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Event Hubs
• Azure Purview
• Strong expertise in Databricks, including:
• Delta Lake
• Unity Catalog
• Medallion Architecture
• Cluster Optimization
• Advanced Apache Spark performance tuning and optimization.
• Strong coding experience in PySpark, Scala, Python, and advanced SQL.
• Experience designing enterprise-scale data platforms and modern data lakehouse architectures.
• Strong understanding of dimensional modeling, normalized models, and Data Vault.
• Experience with Infrastructure as Code (Terraform/ARM), CI/CD, and DevOps practices.

Preferred Qualifications

• Azure Solutions Architect Expert Certification.
• Databricks Certified Data Engineer Professional or Solutions Architect.
• Experience with MLOps and Machine Learning platforms.
• Cloud migration and modernization experience.
• FinOps and cloud cost optimization knowledge.
• Multi-cloud exposure (AWS/GCP) is a plus.
• Consulting or advisory experience., * Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Master’s degree preferred.