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
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.
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.