Venquis
Data Architect
Abu Dhabi, UAEPosted 5 days ago
Apply link checked 4 days ago
- Salary
- AED 35k–60k a month· Michael Page
- Job type
- Full time
- Level
- Lead
- Field
- Data & Analytics
- Work mode
- On site
About the role
Role: Data Architect Location: Dubai-Abu Dhabi, Employment Type: Full-time Overview We are seeking a highly experienced Lead Data Lakehouse Architect to provide end-to-end architectural leadership for the implementation of an AWS S3 Lakehouse. This role will be pivotal in defining and enforcing data architecture standards, ensuring scalability, performance, and governance across the data ecosystem. Key Responsibilities • Architectural Leadership • Design and enforce Medallion Architecture for the Lakehouse. • Drive architectural decision-making through SAF/ARB architecture forums. • Lead design for all Data Factory squads working on data initiatives. • Iceberg Table Standards • Define standards for Apache Iceberg tables, including: • Partitioning strategy • Schema evolution • Time travel and snapshot retention • Table optimization schedules • Data Modeling & Standards • Establish data modeling standards (e.g., dimensional modeling for Gold layer, SCD2, naming conventions, metadata management). • Define lineage standards leveraging OpenMetadata. • Collaboration & Governance • Coordinate with platform teams on Iceberg-related activities. • Collaborate with Data Quality leads to implement validation rules. • Proactively manage escalations and communicate progress with senior stakeholders. • Technical Leadership • Provide guidance to Glue Data Engineers. • Establish code review processes and best practices. • Create reusable design patterns and templates for consistency. Required Skills & Experience • Technical Expertise • Proven experience in Lakehouse architecture (S3, Iceberg, Glue, Spark). • Strong understanding of Medallion architecture and data modeling principles. • Hands-on experience with schema evolution, partitioning strategies, and table optimization in Iceberg. • Leadership & Governance • Ability to lead architectural forums and influence decision-making. • Experience in defining metadata management, lineage, and data quality frameworks. • Tools & Technologies • AWS services (S3, Glue, Athena, EMR) • Apache Iceberg, Spark • OpenMetadata or similar lineage tools • Able to automate their work / repetive tasks. • Soft Skills • Strong communication and stakeholder management. • Ability to work collaboratively across multiple squads and teams. • Ability to work in a fast-paced environment and deliver aggressive migration targets. • Strong collaboration and communication skills. • Work with Jira and agile way of working. Preferred Qualifications • 10+ years in data architecture roles, with at least 3 years in Lakehouse implementations. • Experience in financial services or banking domain is a plus. Venquis is acting as an Employment Agency in relation to this vacancy.
Requirements
Preferred Qualifications: 10+ years in data architecture roles, with at least 3 years in Lakehouse implementations. Experience in financial services or banking domain is a plus.
Responsibilities
Architectural Leadership: Design and enforce Medallion Architecture for the Lakehouse; Drive architectural decision-making through SAF/ARB architecture forums; Lead design for all Data Factory squads working on data initiatives. Iceberg Table Standards: Define standards for Apache Iceberg tables, including partitioning strategy, schema evolution, time travel and snapshot retention, table optimization schedules. Data Modeling & Standards: Establish data modeling standards (e.g., dimensional modeling for Gold layer, SCD2, naming conventions, metadata management); Define lineage standards leveraging OpenMetadata. Collaboration & Governance: Coordinate with platform teams on Iceberg-related activities; Collaborate with Data Quality leads to implement validation rules; Proactively manage escalations and communicate progress with senior stakeholders. Technical Leadership: Provide guidance to Glue Data Engineers; Establish code review processes and best practices; Create reusable design patterns and templates for consistency.
Skills
- Lakehouse architecture
- S3
- Iceberg
- Glue
- Spark
- Medallion architecture
- data modeling
- schema evolution
- partitioning strategies
- table optimization
- OpenMetadata
- data lineage
- data quality frameworks
- AWS services
- data governance
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