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

Responsibilities

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.

Qualifications

• 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.