Daman

www.damaninc.com

2 Jobs

115 Employees

About the Company

For more than 25 years, Daman has been helping clients maximize the value of their data with a full spectrum of data management solutions. From modern data engineering to hybrid-analytics that leverage machine learning and AI, we deliver high-performance, enterprise-scale solutions for hyper-competitive advantage. Our clients are innovating every day to solve the world's biggest challenges. From healthcare and transportation to finance and manufacturing, they hire us to help unlock maximum value from their information assets. Daman is committed to excellence. Employees find an environment that supports creativity and fosters innovation, a culture that is collaborative and diverse, and leadership that is generous in support and spirit.

Listed Jobs

Company Name: Daman
Job Title: Application Architect/Software Architect/Developer
Job Description: **Job Title:** Application Architect **Role Summary:** Design and implement advanced AI-driven applications integrating Generative AI (LLM, RAG) technologies to align with enterprise architecture and innovation strategy. **Expectations:** 8+ years in application/software architecture; expertise in GenAI solutions, cloud-native platforms, and enterprise security. Requires leadership in cross-functional collaboration and technical mentorship. **Key Responsibilities:** - Architect scalable, secure applications leveraging Generative AI technologies (e.g., LLMs, RAG pipelines). - Translate business requirements into technical architectures with engineering, product, and data science teams. - Define AI-enabled application standards, patterns, and reference architectures. - Guide application modernization using cloud-native and AI-native methodologies. - Ensure compliance with security, data privacy, and responsible AI practices. - Advise on emerging AI/ML tools, frameworks, and vendor solutions for build/buy decisions. - Mentor teams on GenAI adoption and optimize MLOps for model deployment/monitoring. **Required Skills:** - Generative AI technologies (LLMs, RAG, vector databases, prompt engineering). - Cloud platforms (AWS, Azure, GCP) and microservices architecture. - Programming languages (Python, Node.js, Java). - MLOps practices (model deployment, inference optimization). - Enterprise security, compliance, and governance frameworks. - Stakeholder communication and cross-functional collaboration. **Required Education & Certifications:** Bachelor’s degree in Computer Science or related field.

Austin, United states

Hybrid

Senior

25-09-2025

Company Name: Daman
Job Title: Senior Databricks Architect
Job Description: **Job Title:** Senior Databricks Architect **Role Summary:** Lead and architect scalable data solutions using Databricks, guiding teams to build cloud-native data pipelines and advance analytics capabilities. **Expectations:** Hands-on leadership in data engineering, architecture design, and cross-functional collaboration to deliver enterprise-grade data platforms. **Key Responsibilities:** - Lead data engineering teams, providing technical mentorship and strategic direction for project execution. - Design and optimize scalable ETL pipelines using Apache Spark, Databricks, and Delta Lake for cloud environments. - Define architectures for data processing frameworks, cloud infrastructure, and integration of structured/unstructured data sources. - Collaborate with business teams, analysts, and data scientists to translate requirements into technical solutions. - Implement and manage cloud-based data lakes, warehouses, and Delta Lake environments. - Monitor and optimize Databricks cluster performance for cost-efficiency and scalability. - Enforce coding, security, and DevOps best practices across teams. - Develop CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools. - Document system architecture, workflows, and development processes. **Required Skills:** - **Technical:** Databricks, Apache Spark, Delta Lake, cloud platforms (Azure/AWS/GCP), Python, SQL, Scala (preferred). - **Leadership:** Experience managing/mentoring data engineering teams. - **Operations:** Infrastructure-as-code tools (e.g., Terraform), CI/CD pipeline development. - **Data Architecture:** Data modeling, distributed processing, data warehousing principles. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Minimum 2 years in a technical leadership role (data engineering, cloud, or analytics).