Job Title Databricks Architect Job Location Pan India Notice Period Any Experience 1220 Years Education Any Bachelors Degree About ARAs Client Global Professional Services Leader ARAs Client is a global qualified services company with leading capabilities in digital cloud and security They combine unmatched experience and specialized skills across more than 40 industries offering Strategy and Consulting Interactive Technology and Operations services Their culture embraces the power of change to create value and shared success for clients people shareholders partners and communities Role Summary ARAs Client is seeking a highly experienced Databricks Architect to lead the design and implementation of optimized lakehouse and AI infrastructure for largescale machine learning systems This pivotal role involves owning endtoend architecture ensuring scalability costefficiency and adherence to security and compliance standards while mentoring engineering teams Key Responsibilities Own endtoend architecture and design of optimized Databricks AI ML infrastructure including workspace cluster and modelserving environments Design and tune scalable Databricks clusters jobs and pipelines using Databricks Workflows MLflow Unity Catalog and Delta Lake Serve as an authoritative AI infrastructure expert applying deep knowledge of lakehouse architecture ML lifecycle services governance security and cost optimization Develop and evaluate architecture alternatives weighing tradeoffs across compute networking storage orchestration and security Lead architecture assessments identifying gaps risks and optimization opportunities in existing and proposed environments Drive architecture decisionmaking by documenting rationale tradeoffs and dependencies ensuring alignment with business SLAs Define and maintain AI infrastructure roadmap inputs capacity planning models scaling strategies and cost forecasts Design deployment automation and CI CD strategies for reliable repeatable releases of AI systems and data pipelines Establish AI monitoring and observability practices across InfraOps and MLOps including SLAs alerting and performance cost tracking Integrate AI ML systems into enterprise environments ensuring interoperability security and compliance Collaborate with clients stakeholders and engineering teams to translate requirements into actionable architecture standards Set technical direction mentor engineers review designs code and promote engineering best practices MustHave Qualifications 1220 years of overall experience with significant experience in AI ML infrastructure architecture and largescale engineering solutions Proven expertise with Databricks workspaces clusters Workflows MLflow Model Registry Unity Catalog Delta Lake and Feature Engineering Strong proficiency in Python SQL and Spark with experience in programming scripting languages like Java C Bash or PowerShell Experience architecting scalable data and ML pipelines distributed processing training workloads and highthroughput data access Deep understanding of AI ML concepts and the computing infrastructure required for production AI workloads on hyperscalers Azure AWS GCP Strong working knowledge of Terraform Databricks Asset Bundles Gitbased CI CD DataOps MLOps observability and incident response practices Bachelors degree in Computer Science Computer Engineering IT or a related engineering field Excellent communication collaboration and stakeholder alignment skills

📌 Databricks Architect (Mumbai)
🏢 Ara Resources Private
📍 Mumbai