High-Ticket Sales Executive - Remote

At Ness Digital Engineering, we enable global enterprises to achieve their digital transformation goals through innovative IT consulting. As part of our Cloud and Data practice, we deliver strategic guidance and cutting-edge solutions in cloud mobility, software modernization, and automation.

We are a team of problem-solvers, architects, and strategists who thrive on tackling complex business challenges with technology. As an AWS Premier Consulting Partner, we pride ourselves on our collaborative, transparent, and client-focused culture.

Position Overview

We are seeking an experienced Cloud Data Architect to design and implement enterprise-scale data solutions using modern cloud technologies. The ideal candidate will architect robust data systems leveraging cloud-native platforms while ensuring optimal data modeling and pipeline efficiency.

Key Responsibilities

• Design scalable cloud data architectures using modern data warehousing and analytics platforms
• Develop logical and physical data models for structured and semi-structured data
• Design and implement automated data pipelines for efficient data processing
• Optimize data storage and query performance in cloud environments
• Establish role-based access controls (RBAC) and security protocols for cloud data systems
• Lead cloud migration initiatives from legacy systems to modern data platforms
• Collaborate with engineering teams to implement ETL / ELT processes

Required Qualifications

• 8+ years in data architecture with 3+ years cloud-focused experience
• Expertise in cloud-native data warehousing and analytics platforms (e.g., Snowflake, Databricks)
• Proficiency in SQL optimization and data processing languages (e.g., Python, Scala)
• Strong understanding of :

Data warehousing concepts and dimensional modeling

• Data pipeline architecture (batch and stream processing)
• Data governance frameworks and best practices

Preferred Qualifications

• Experience with data mesh or data fabric architectures
• Knowledge of machine learning integration patterns in cloud platforms

Technology Stack Cloud Data Warehouses | Data Lakes | Python | SQL | Cloud Platforms (AWS / Azure / GCP) | Data Modeling Tools | ETL / ELT Tools | Business Intelligence Platforms

This role requires strategic thinking to align data infrastructure with business objectives while maintaining hands-on technical capabilities for solution implementation. Successful candidates will demonstrate expertise in modern cloud data platforms combined with a deep understanding of data modeling principles and pipeline optimization techniques.

Why Join Us?

At Ness, you’ll work in a dynamic, supportive environment where you can leverage your consulting skills to drive meaningful change. If you thrive in customer-facing roles and enjoy tackling complex challenges with innovative solutions, we’d love to hear from you.

Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.