Net2Source Inc. Hiring! Full Time Data Architect in Federal Territory - Ricebowl

Experience - 12+ Years

Location - Malaysia

Preferred - Local Candidate

• 12+ years of experience in data engineering using Databricks or Apache Spark-based platforms.
• Proven track record of building and optimizing ETL/ELT pipelines for batch and streaming data ingestion.
• Hands-on experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, or Azure SQL Data Warehouse.
• Proficiency in programming languages such as Python, Scala, or SQL for data processing and transformation.
• Expertise in Spark (PySpark, Spark SQL, or Scala) and Databricks notebooks for large-scale data processing.
• Familiarity with Delta Lake, Delta Live Tables, and medallion architecture for data lakehouse implementations.
• Build and query deltalake storage solutions
• Process streaming data with Azure Databricks structured streaming
• Design Azure Databricks security and data protection solutions
• Flatten nested structures and explode arrays with spark
• Transfer data outside using sparkpools using pyspark connector
• Optimizing spark jobs
• Implementing best practices in spark/databricks
• Experience with orchestration tools like Azure Data Factory or Databricks Jobs for scheduling and automation.
• Knowledge of Git for source control and CI/CD integration for Databricks workflows, cost optimization, performance tuning.
• Familiarity with Unity Catalog, RBAC, or enterprise-level Databricks setups.
• Ability to create reusable components, templates, and documentation to standardize data engineering workflows.
• Solutioning and presales - Architecting frameworks, defining roadmaps, and engaging with stakeholders.
• Experience in defining data strategy, evaluating new tools/technologies, and driving adoption across the organization.
• Experience with Snowflake and/or Microsoft Fabric is an added advantage.
• Must have experience of working with streaming data sources and Kafka (preferred).

Eligibility Criteria:

• Bachelor’s degree in computer science, Information Technology, or related field
• Proven experience as a Databricks Architect or similar role
• Complete knowledge in Databricks platform architecture
• Databricks certification (e.g., Certified Data Engineer)
• Expertise in Python/Scala/ SQL/R
• Knowledge of MLOps, data observability, DevOps/CI-CD, and BI tools.
• Experience with DataOPS & AIOPS
• Experience with cloud platforms like AWS, Azure, or GCP or Alibaba
• Strong understanding of data modeling and cloud integration
• Experience with cluster sizing and security implementation
• Excellent problem-solving and communication skills