Data Architect
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Key skills for this role
About the Role
Xebia is seeking a Databricks Architect with deep expertise in Azure Data Platform, Data Modelling, and Medallion (Lakehouse) Architecture. The role involves designing and implementing scalable data solutions using Databricks, Delta Lake, and modern data engineering practices for enterprise-wide analytics.
Key Skills for This Role
Responsibilities
- Design and implement Medallion Architecture (Bronze, Silver, Gold layers) on Azure Databricks
- Define data flow standards across ingestion, cleansing, transformation, and consumption layers
- Ensure data quality, lineage, and governance across all layers
- Optimize storage and compute using Delta Lake features (ACID transactions, time travel, schema evolution)
- Architect end to end Azure data platforms using Azure Databricks, ADLS Gen2, Azure Data Factory, Azure Synapse
- Define data platform standards, best practices, and reusable frameworks
- Lead data modernization initiatives (on prem to cloud, legacy to lakehouse)
- Build scalable pipelines using PySpark, Spark SQL, and Databricks workflows
- Implement batch + real time ingestion patterns
- Drive performance tuning and cost optimization
- Mentor teams on Spark optimization, partitioning, and job orchestration
- Design enterprise grade data models (Dimensional Star/Snowflake, Normalized, Data Vault nice to have)
Requirements
- Strong hands on experience with Azure Databricks & Delta Lake
- Proven expertise in Medallion Architecture implementation
- Advanced PySpark and Spark SQL
- Experience with ADF, ADLS Gen2, Synapse
- Strong experience in Dimensional modelling (must have)
- Data modelling aligned to Gold layer analytics
- Understanding of data quality and governance frameworks
- Strong architectural thinking
- Client facing experience
- Ability to lead and scale engineering teams
- Excellent communication and stakeholder management
Full Job Posting
Position Overview
- We are seeking a Databricks Architect with deep expertise in Azure Data Platform, Data Modelling, and Medallion (Lakehouse) Architecture.
- The ideal candidate will design and implement scalable, high performance data solutions using Databricks, Delta Lake, and modern data engineering practices, enabling enterprise wide analytics and business intelligence.
- Location: Abu Dhabi
- Experience: 10–15+ Years
Key Responsibilities
- Design and implement Medallion Architecture (Bronze, Silver, Gold layers) on Azure Databricks.
- Define data flow standards across ingestion, cleansing, transformation, and consumption layers.
- Ensure data quality, lineage, and governance across all layers.
- Optimize storage and compute using Delta Lake features (ACID transactions, time travel, schema evolution).
- Architect end to end Azure data platforms using Azure Databricks, ADLS Gen2, Azure Data Factory, Azure Synapse.
- Define data platform standards, best practices, and reusable frameworks.
- Lead data modernization initiatives (on prem to cloud, legacy to lakehouse).
- Build scalable pipelines using PySpark, Spark SQL, and Databricks workflows.
- Implement batch + real time ingestion patterns.
- Drive performance tuning and cost optimization.
- Mentor teams on Spark optimization, partitioning, and job orchestration.
- Design enterprise grade data models: Dimensional (Star/Snowflake), Normalized and Data Vault (nice to have).
Required Skills
- Strong hands on experience with Azure Databricks & Delta Lake.
- Proven expertise in Medallion Architecture implementation.
- Advanced PySpark and Spark SQL.
- Experience with ADF, ADLS Gen2, Synapse.
- Strong experience in Dimensional modelling (must have).
- Data modelling aligned to Gold layer analytics.
- Understanding of data quality and governance frameworks.
- Real time processing (Kafka / Spark Streaming) – nice to have.
- Azure Purview or data governance tools – nice to have.
- ML pipelines on Databricks – nice to have.
- Domain: Airlines / BFSI / Retail – nice to have.
- Strong architectural thinking.
Equal Opportunity
- We are an Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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