DE&A - Core - Data Engineering - Microsoft SQL Server

Required Technical Skills Data & Analytics • Expert-level experience with SSIS and Snowflake Data Cloud. • Strong expertise in dimensional modeling, data warehousing, ELT/ETL design, and data architecture. • Experience with large-scale cloud data platforms and modern data ecosystems. • Strong SQL, python and performance optimization skills. BI & Visualization • Advanced experience with Tableau. • Expertise in executive dashboards, KPI reporting, and analytical storytelling. • Experience building enterprise semantic models and self-service analytics capabilities. AI / Machine Learning / GenAI Hands-on experience in one or more of the following: • Generative AI applications • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • Prompt Engineering • AI Agents and Agentic Workflows • Machine Learning model development and deployment • Predictive Analytics and Forecasting • MLOps practices and AI governance Additional Technologies (Preferred) • SAP HANA • REST APIs • Data Governance & Security Frameworks Technical Leadership • Lead architecture, design, and implementation of enterprise data, analytics, and AI solutions. • Drive best practices for data engineering, analytics, AI/ML, and GenAI platforms. • Provide hands-on technical guidance in SSIS and Snowflake-based data ecosystems. • Oversee development of scalable, secure, and high-performance data platforms. • Review solution designs, code quality, data models, and AI implementations. • Identify opportunities to leverage AI and GenAI to improve business outcomes. Stakeholder Management • Act as the primary technical interface for client stakeholders and senior executives. • Translate business requirements into scalable technical solutions. • Present architecture recommendations, project updates, business value realization, and technology roadmaps to leadership teams. • Collaborate with cross-functional teams including Sales, Marketing, Finance, IT, and Data Governance. Business & Domain Leadership Must Have • Strong domain expertise in Sales Operations and Sales Analytics. • Experience supporting commercial organizations in the High-Tech Manufacturing industry. • Understanding of: • Revenue management • Sales planning • Forecasting • Deal management • Customer lifecycle analytics • Pipeline management Preferred • Experience working with Cisco. • Experience supporting global sales or marketing organizations within large technology enterprises. • Familiarity with Cisco sales processes, operational data models, and commercial reporting ecosystems. • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or related field. • 10+ years of overall IT experience. • Minimum 5+ years of technical leadership experience. • Minimum 5+ years of experience in SSIS, Snowflake and enterprise analytics platforms. • Demonstrated success delivering large-scale data and AI transformation programs.