Senior Data Pre-sales Consultant

About the Role

We are collaborating with a leading Fortune 500 technology consulting firm that is rapidly expanding its presence across the GCC. This role is a unique blend of technical expertise and customer-facing engagement, focused on guiding enterprise clients through transformative Data & Analytics initiatives. Unlike conventional delivery-oriented Data Architect positions, this opportunity centers on direct interaction with customers to facilitate discovery workshops, identify business needs, and architect innovative data solutions prior to project execution.

Key Responsibilities

• Conduct and lead customer discovery sessions and pre-sales workshops to understand client requirements deeply.
• Architect comprehensive enterprise Data Platform and Analytics solutions tailored to client needs.
• Translate complex business requirements into scalable, end-to-end technical architectures.
• Contribute to solution proposals, respond to RFPs, and deliver compelling technical presentations.

Candidate Profile

• At least 8 years of experience in Data Solutions Architecture or Data Architecture roles.
• Minimum of 4 years in pre-sales or customer-facing consulting capacities is mandatory.
• Background working within Systems Integrator, Consultancy, or Managed Services Provider environments.
• Demonstrated proficiency designing enterprise data platforms leveraging Microsoft Fabric alongside Databricks and Snowflake technologies.
• Exceptional skills in stakeholder engagement with a track record of working directly with large enterprise customers.
• Strong commercial acumen paired with excellent communication and relationship management capabilities.
• Proactive self-starter who excels in fast-paced consulting scenarios.

Additional Information

The position is based in Abu Dhabi, specifically at the office on Al Maryah Island. The compensation package is competitive and aligned with current market standards, including benefits.

Applicants passionate about enabling enterprises to overcome complex challenges using modern data solutions are encouraged to apply.