| Senior Data Platform Architect (AI or ML models is preferred) at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=611439&uid= From: Naveen Varma, USG [email protected] Reply to: [email protected] Role: Senior Data Platform Architect (AI/ML models is preferred) Location: Capgemini - MORGANTOWN, PA (HYBRID) Duration: Long Term Job Role and Responsibilities: Conceptualize, architect, and communicate the Data Platform's architecture and roadmap. Act as a bridge between various technology groups: Solution Architecture, Platform Architecture, Information Security, and Data Architecture. Guide software development and infrastructure engineering teams to adopt Cloud, hybrid, and on-premises cloud-native architecture. Conduct evaluations of competing technologies and provide well-informed recommendations. Identify areas for platform improvement and recommend adaptation roadmaps. Architect, construct, and oversee an efficient data platform utilizing modern, low/no code cloud technologies (AWS), interfacing with existing data services and storages. Mentor junior platform engineers, data engineers, developers, and operators, championing best practices and well-architected infrastructure. Define migration strategies to Kubernetes for container orchestration in a cloud environment. Develop strategies for legacy modernization and cloud adoption for existing solutions Establish operationalization standards for supporting Cloud-based architecture. Leverage your experience in risk and risk control compliance and security standards for infrastructure and networking. Collaborate to evolve a sophisticated data model, collaborating with executives, engineers, product managers, scientists, and partners to harness structured data from diverse source systems. Advocate and educate engineering team members on data modeling principles, standards, and best practices. Leverage external engagements as needed to expedite projects. Qualifications: A strong hands-on expertise with Kubernetes and associated technologies is a MUST. In depth experience and Proficiency with tools like Kafka, Kubernetes, OpenSearch/ELK stack, and Observability platforms (Monitoring, Logging) is preferred. Hands-on experience in designing and operationalizing logging pipelines on Kubernetes. Experience with application build and deployment patterns on Kubernetes. Strong familiarity with Cloud native development patterns, and hands-on software development experience in Java, Spring stacks. Substantial in-depth (5+ years) experience in data storage technologies (RDBMS, MYSQL, Postgres, S3, MPP, Big data), including robust expertise in application, data, and infrastructure architecture disciplines. In-depth In-depth DBA-level expertise is not required. Deep understanding and application of EAI patterns Experience in devising security standards for multi-protocol data access, along with experience in applying data authorization standards. Experience with CI/CD practices. Extensive Experience with App containerization using Docker and Kubernetes for container management. Knowledge of Tanzu Kubernetes Grid or Tanzu services is beneficial. Extensive experience in cloud architecture, particularly with AWS, including familiarity with Cloud hosting platforms such as Tanzu Application Service or Cloud Foundry. Large-scale experience in designing and deploying applications on containers in a high-availability topology. Experience in operationalizing AI/ML models is preferred. Thanks Naveen Varma [email protected] United Software Group Inc.. Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree Pennsylvania http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=611439&uid= |
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| 07:59 PM 07-Sep-23 |