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

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.