# Database Warehouse Architect — ISHIR

Canonical: https://jobxdubai.com/jobs/li-4442743140-database-warehouse-architect
Location: Dubai, UAE
Type: contract · Level: senior
Monthly salary: AED 80,000 to 120,000 per month (employer-stated) (UAE salaries are tax-free)
Posted: 2026-07-20
Apply: https://www.linkedin.com/jobs/view/database-warehouse-architect-at-ishir-4442743140?_l=en

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## Description

Job Title - Database Warehouse Architect (Fractional)

Work Mode- Dallas/Fort Worth/Austin (Texas)

Job Description

We are seeking a senior, solution-oriented Data Warehousing & Lakehouse Architect to engage on an on-demand consulting basis. This role is designed for an expert who stays current with modern data warehousing trends and has deep hands-on expertise in Databricks-led lakehouse architectures. The consultant will advise on architecture, design scalable data platforms, lead solution discovery, and guide engineering teams. This is not a full-time or staff-augmentation role; it is a high-impact advisory and solution-architecture engagement focused on clarity, correctness, and execution readiness.

Required Experience

• Senior-level experience in Data Warehousing and Lakehouse Architecture.Deep, hands-on expertise with Databricks (Apache Spark, Delta Lake, Lakehouse patterns).

• Strong experience designing cloud-native data platforms on AWS, Azure, or GCP.

• Solid understanding of modern data warehousing trends, including:

• Lakehouse architectures

• Open table formats (Delta Lake, Iceberg, Hudi)

• Decoupled storage & compute

• Cost and performance optimization strategies

• Strong knowledge of ETL/ELT pipelines, SQL, and analytical data modeling.

• Experience with data governance, security, metadata, and access controls.

• Ability to work independently and provide high-quality architectural guidance on demand.

• Strong communication skills with a solution-first, advisory mindset.

Responsibilties

• Provide on-demand architectural leadership for data warehousing and lakehouse initiatives.

• Design and review modern lakehouse architectures with Databricks at the core.

• Translate business, analytics, and AI requirements into scalable, cost-efficient data

• solutions.

• Lead architecture discovery sessions and solution design workshops.

• Define best practices for data ingestion, transformation, and modeling (ETL/ELT).

• Guide implementation of Databricks (Spark, Delta Lake, Unity Catalog) and Snowflake where applicable.

• Ensure data quality, governance, security, and performance optimization.

• Perform architecture reviews, feasibility assessments, and modernization recommendations.

• Advise teams on data platform choices, trade-offs, and long-term scalability.

• Collaborate with data engineers, analytics teams, and stakeholders in a consultative

• advisory capacity.

• Stay ahead of emerging data warehousing and lakehouse trends, recommending

• practical adoption paths

Preferred Certifications

• Databricks Certified Professional (highly preferred)

• Cloud Certification (AWS, Azure, or GCP)

• Snowflake Certification – nice to have

Nice To Have

• Experience with streaming / real-time data architectures.

• Exposure to BI and analytics platforms (Power BI, Tableau, Looker).

• Experience supporting AI / ML and GenAI workloads on Databricks.

• Prior consulting or fractional architect experience.

• What This Role Is (and Is Not)

• This role is:

• On-demand, flexible, and outcome-driven

• Architecture and solution focused

• Ideal for senior consultants or fractional architects

• This role is not:

• A full-time employment role

• A pure data engineering or operations role

• A staff-augmentation position

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## Requirements

Senior-level experience in Data Warehousing and Lakehouse Architecture with deep, hands-on expertise in Databricks (Apache Spark, Delta Lake, Lakehouse patterns). Strong experience designing cloud-native data platforms on AWS, Azure, or GCP. Solid understanding of modern data warehousing trends (Lakehouse architectures, open table formats such as Delta Lake, Iceberg, Hudi; decoupled storage & compute; cost and performance optimization). Proficiency in ETL/ELT pipelines, SQL, and analytical data modeling. Experience with data governance, security, metadata, and access controls. Ability to work independently and provide high-quality architectural guidance on demand. Strong communication skills with a solution-first, advisory mindset.

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