Database Warehouse Architect
ISHIR
- United Arab Emirates
- Permanent
- Part-time
- 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.
- 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
- Databricks Certified Professional (highly preferred)
- Cloud Certification (AWS, Azure, or GCP)
- Snowflake Certification – 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