Two95 International Inc.
Solution Architect or Data Bricks Technical Lead
- Compensation
- Not disclosed
- Location
- Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Architecture
- Posted
Skills
Must have
- Databricks Expertise
Nice to have
- Experience with Microsoft Purview for governance and lineage
- Knowledge of Synapse serverless SQL pools, KQL, Timeseries analytics
- Expertise in MLOps: Databricks Feature Store, Model Registry, Fabric ML workloads
- Background in Data Science (Python, ML frameworks)
Full description
We are looking for Solution Architect or Data Bricks Technical Lead
with 10 to 12 years of experience.
Mandatory Skills: Databricks, Azure, Microsoft Fabric
Job Summary:
Required Technical Skill Set: Proficiency in Azure, Databricks and Microsoft Fabric.
Must-Have
- Databricks Expertise
- Strong hands-on experience with:
- Delta Lake
- PySpark / Spark SQL
- Unity Catalog governance
- Workflows/Jobs/Task orchestration
- Cluster management and optimization
- MLflow experiment tracking & model deployment
- Lakehouse design patterns and advanced data partitioning strategies.
- Microsoft Fabric Expertise
- Deep knowledge of:
- Lakehouse tables & Medallion architecture
- Fabric Data Factory pipelines
- Notebooks, Spark compute, and orchestration
- Real-Time Hub ingestion
- Power BI semantic modeling & DAX
- Designing data estates fully within Fabric or hybrid with Databricks.
- Azure Cloud Ecosystem
- Azure AD authentication & RBAC
- ADLS Gen2, Azure SQL/MI, Synapse, Event Hub, ADF
- Data governance, data security, encryption, and networking fundamentals (VNets, private endpoints)
- Architecture Skills
- Data modeling (Kimball, Data Vault, Star/Snowflake)
- API-based data integrations (REST, Graph, OData)
- Designing for scalability, performance, and resiliency
- CI/CD pipelines and IaC (ARM/Bicep/Terraform is a plus)
- Soft Skills
- Strong communication and stakeholder management
- Ability to translate business needs into architectural blueprints
- Leadership, mentoring, and solution ownership mindset
Good-to-Have
- Experience with Microsoft Purview for governance and lineage
- Knowledge of Synapse serverless SQL pools, KQL, Timeseries analytics
- Expertise in MLOps: Databricks Feature Store, Model Registry, Fabric ML workloads
- Background in Data Science (Python, ML frameworks)
- Experience designing solutions for:
- Customer 360 platforms
- Supply chain analytics
- Digital media analytics
- Experience with cost governance and FinOps
- Certifications (nice to have):
- Databricks Certified Data Engineer/Architect
- Microsoft Fabric Analytics Engineer