Senior Data Architect

Ekrocx Technologies is a digital transformation consultancy helping enterprise brands build and scale next-generation commerce, data, and analytics solutions across the GCC and beyond. We partner with leading retailers, CPG companies, and B2B organisations to unlock measurable growth through technology and insight.

By combining deep technical expertise with strategic business understanding, we deliver reliable, scalable solutions that enable our clients to innovate faster, streamline operations, and stay ahead in an ever-evolving digital landscape.

About the Role

As Senior Data Architect, you'll define the data strategy and technical architecture for enterprise clients undergoing large-scale transformation programmes. You'll bridge the gap between business objectives and technical implementation — designing robust data foundations that power analytics, AI, and personalisation at scale.

Responsibilities

• Lead data architecture design across data warehousing, MDM, data governance, and analytics layers.
• Define data modelling standards, naming conventions, and platform-specific best practices (Snowflake, BigQuery).
• Consult with enterprise clients to assess current data maturity and build transformation roadmaps.
• Oversee the implementation of Master Data Management solutions for product, customer, and supplier data.
• Design integration architectures connecting ERP, commerce, CRM, and BI systems.
• Review and approve technical designs from data engineers and BI developers.
• Present data architecture proposals to client CIOs and CDOs at C-suite level.

Requirements

• 7+ years in data engineering or analytics engineering, with at least 3 years in an architecture-level role.
• Deep expertise in Snowflake or BigQuery — schema design, performance tuning, security, cost management.
• Hands-on experience designing and implementing MDM solutions (Stibo, Akeneo, Informatica, or similar).
• Strong SQL and data modelling skills (dimensional, Data Vault, or lakehouse patterns).
• Proven experience operating in enterprise consulting or professional services environments.
• Ability to communicate architecture decisions clearly in written and verbal form at all seniority levels.

Nice to Have

• Certifications in Snowflake, dbt, or cloud platforms (AWS, Azure, GCP).
• Experience with data governance tooling (Collibra, Alation, or Microsoft Purview).
• Familiarity with retail or CPG data models and industry data standards.
• Exposure to real-time data architectures using Kafka or Flink.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working arrangements — remote-friendly with global office access.
• AED 8,000 annual learning and development budget.
• Full health, dental, and vision coverage from day one.
• Access to a senior mentorship network across all disciplines.
• Regular team off-sites, knowledge-sharing sessions, and career reviews.