Senior Databricks Solution Architect
Unison Group Open On-site Tunis FrancescasNorwich +3 Contract Senior Data Engineering
At a glance
Senior Data Engineering role at Unison Group. Tunis · contract.
Pay not stated Data Engineering salary
RoleData Engineering
SenioritySenior
LocationTunis
WorkplaceOn-site
EmploymentContract
PostedAug 19, 2026
Also hiring inFrancescas, Norwich, Port of Spain, Romanina +1
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Shape Databricks Lakehouse designs for large enterprise data platforms, then guide their build, rollout and improvement
- Set workspace layouts, cluster approaches, security controls and operating standards for Databricks
- Build scalable pipelines for batch and real-time data using Spark, PySpark, SQL and Delta Lake
- Tune clusters, Spark jobs, queries and costs while establishing Delta Lake quality and Medallion-layer practices
- Guide legacy-platform migrations, CI/CD practices and design reviews with data and architecture teams
What you bring
- Strong practical Databricks experience, including delivering enterprise solutions
- Deep knowledge of Spark, PySpark or Scala, Delta Lake, SQL, Lakehouse design and ETL/ELT
- A strong background in data engineering, big data or solution architecture
- Experience with a cloud Databricks offering, preferably Azure
Who this fits
This senior contractor role suits an architect who can lead technical discussions and provide guidance to engineers, scientists, analysts and enterprise architects. The role is onsite in Tunis, Tunisia.
From the employer
We are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform. The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.
Key Responsibilities
- Design and architect Databricks Lakehouse solutions for large-scale enterprise data platforms.
- Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.
- Define Databricks workspace architecture, cluster strategies, security models, and operational standards.
- Design and develop scalable data pipelines using Databricks, Apache Spark, PySpark, SQL, and Delta Lake.
- Implement data ingestion frameworks supporting batch and real-time data processing.
- Design Delta Lake architectures including:
- Delta tables
- Medallion architecture (Bronze/Silver/Gold layers)
- Data quality frameworks
- Schema evolution and optimization
- Perform Databricks performance tuning:
- Cluster optimization
- Spark job optimization
- Query tuning
- Cost optimization
- Implement Databricks governance and security using:
- Unity Catalog
- Access controls
- Data lineage
- Audit capabilities
- Lead migration projects from legacy data platforms to Databricks Lakehouse.
- Define best practices for Databricks CI/CD, DevOps, and environment management.
- Collaborate with data engineers, data scientists, analysts, and enterprise architects.
- Provide technical guidance, architecture documentation, and design reviews.
Skills & Experience
- Strong experience in data engineering, big data, or solution architecture.
- Strong hands-on experience with Databricks Platform.
- Expert knowledge of:
- Apache Spark
- PySpark / Scala
- Delta Lake
- SQL
- Data Lakehouse architecture
- ETL/ELT development
- Experience designing and delivering enterprise Databricks solutions.
- Strong experience with cloud platforms:
- Azure Databricks (preferred)
- AWS Databricks
- Google Cloud Databricks
- Experience with:
- Databricks Workflows
- Jobs orchestration
- Notebooks
- Repos
- Cluster management
- Unity Catalog
Preferred Skills
- Databricks Certified Data Engineer Professional / Databricks Certified Architect.
- Experience with:
- MLflow
- Databricks Machine Learning
- Feature Store
- Model deployment
- MLOps
- Knowledge of streaming technologies:
- Structured Streaming
- Kafka
- Experience with data governance, compliance, and enterprise security frameworks.
Key Competencies
- Strong Databricks architecture and implementation expertise.
- Ability to design scalable and cost-efficient Lakehouse solutions.
- Strong troubleshooting and performance optimization skills.
- Ability to lead technical discussions with enterprise stakeholders.
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