Job Title

We’re Hiring: Azure Databricks Data Architect OwlSure, A Business Unit of ValueMomentumSeniority Level: ArchitecuteIndustry: IT Services and IT ConsultingJob Function: Data Architecture | Cloud Engineering | Information TechnologyAbout OwlSureOwlSure enables Financial Services, Healthcare, and Life Insurance organizations to achieve value for their budgets, accelerate speed-to-market, and scale operations. Through thoughtfully designed solutions and highly automated managed services, we deliver reliable outcomes backed by deep technical expertise and a continuously optimized delivery platform.Job Title: Azure Databricks Data ArchitectRole SummaryThe Azure Databricks Data Architect is responsible for designing and implementing modern, cloud-native data platforms that support enterprise-scale analytics, BI, and data-driven decision-making.This role leads end-to-end architecture for data modernization initiatives—from ingestion to consumption—leveraging Azure services and Databricks to build scalable, secure, and cost-effective solutions. The architect will also drive DataOps and MLOps frameworks, CI/CD automation, and internal capability development.Key ResponsibilitiesData Architecture & ModernizationDesign modern, scalable data architectures for cloud-native platforms.Lead architecture and implementation of end-to-end data solutions on Microsoft Azure.Define ingestion-to-consumption frameworks supporting:Modern Data WarehousesBI & ReportingAdvanced Analytics & InsightsConduct data strategy sessions focused on scalability, flexibility, and performance optimization.Design data models aligned with enterprise data governance standards.Platform Engineering & ImplementationBuild cost-efficient infrastructure using:Azure DatabricksAzure Data FactoryDevelop data pipelines using Databricks, PySpark, and modern ELT/ETL patterns.Implement CI/CD pipelines for Databricks using Azure DevOps.Lead migrations from on-premises platforms (Spark, Hadoop) to Databricks-based architectures.Data Engineering & ProcessingImplement advanced data processing frameworks (Spark, PySpark).Design and optimize cloud-native databases and columnar storage architectures.Work with processing substrates such as ETL tools, Kafka, and ELT techniques.Enable Data Mesh and Data Product architecture where applicable.DataOps & MLOpsBuild and operationalize DataOps and MLOps frameworks.Establish automation standards for testing, deployment, and monitoring.Ensure governance, security, and compliance within data platforms.Stakeholder & Team CollaborationCollaborate with Data Engineering, Data Management, BI, and Analytics teams.Partner with customers on enterprise data modernization initiatives.Create training plans and learning materials to upskill internal associates.Develop reusable, domain-specific accelerators and industry-focused data solutions.Required Skills & ExperienceExperience10+ years of overall IT experience.Minimum 4+ years implementing cloud-native end-to-end data solutions.Proven experience delivering Modern Data Warehouse and analytics platforms.Experience working in complex enterprise IT environments.Technical SkillsStrong expertise in Azure-based modern data architecture.Hands-on experience with:Azure DatabricksPySparkAzure Data FactoryExperience migrating on-prem platforms (Spark, Hadoop) to cloud-native architectures.Strong understanding of data warehouse concepts and columnar database design.CI/CD implementation using Azure DevOps.Experience with ETL tools, Kafka, and ELT frameworks.Proficiency in data governance and cloud-native architecture patterns.Methodology & CollaborationUnderstanding of Agile/Scrum methodologies.Ability to collaborate across cross-functional teams (Data Engineering, BI, Analytics).Strong stakeholder communication and architecture documentation skills.Preferred QualificationsExperience designing and implementing Data Mesh or Data Product architectures.Exposure to MLOps frameworks and advanced analytics platforms.Domain experience in enterprise data modernization programs.Why Join OwlSure?Lead enterprise-scale cloud data transformation programs.Work with global clients across Insurance, Healthcare, and Financial Services.Shape next-generation data platforms leveraging Azure and Databricks.Contribute to a growing data and analytics practice with strong innovation focus.