Description

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

- Robust 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.

📌 DE&A - Core - Data Engineering - Microsoft SQL Server (India)
🏢 Zensar Technologies
📍 India