Senior Technical Lead

Job Summary

Role Summary:                            Design, develop, and implement AI-powered automation solutions that streamline data governance, discovery, retention, compliance, and operational processes across enterprise data platforms. Positions 2                           Key Responsibilities:                                                       Develop and deploy AI/GenAI and automation solutions to improve data management and governance processes.         Build automated workflows for data discovery, classification, metadata enrichment, retention, archival, and deletion activities.       Integrate AI services, APIs, and cloud-native tools into enterprise data platforms.               Support the development of monitoring, audit, and compliance controls within automated solutions.           Collaborate with architects, data engineers, governance teams, and business stakeholders to deliver scalable automation capabilities.     Contribute to AI model testing, deployment, and continuous improvement initiatives.                                             Key Skills:                                                           AI/GenAI and Intelligent Automation                       Python, APIs, and Workflow Automation                       Cloud Platforms (GCP/Azure/AWS)                       Data Engineering and Data Governance                       Metadata Management and Data Quality                       Monitoring, Logging, and Operational Support                                                   Experience:                            3+ years of experience in Data Engineering, Automation, AI/ML, or software development, with hands-on experience building enterprise automation solutions.

Key Responsibilities

Role Summary:                            Design, develop, and implement AI-powered automation solutions that streamline data governance, discovery, retention, compliance, and operational processes across enterprise data platforms. Positions 2                           Key Responsibilities:                                                       Develop and deploy AI/GenAI and automation solutions to improve data management and governance processes.         Build automated workflows for data discovery, classification, metadata enrichment, retention, archival, and deletion activities.       Integrate AI services, APIs, and cloud-native tools into enterprise data platforms.               Support the development of monitoring, audit, and compliance controls within automated solutions.           Collaborate with architects, data engineers, governance teams, and business stakeholders to deliver scalable automation capabilities.     Contribute to AI model testing, deployment, and continuous improvement initiatives.                                             Key Skills:                                                           AI/GenAI and Intelligent Automation                       Python, APIs, and Workflow Automation                       Cloud Platforms (GCP/Azure/AWS)                       Data Engineering and Data Governance                       Metadata Management and Data Quality                       Monitoring, Logging, and Operational Support                                                   Experience:                            3+ years of experience in Data Engineering, Automation, AI/ML, or software development, with hands-on experience building enterprise automation solutions.

Skill Requirements

Other Requirements