Data Platform Lead
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Key skills for this role
About the Role
Group AMANA seeks a Data Platform Lead with deep expertise in Databricks and Azure to lead the migration from Synapse Analytics to a Databricks lakehouse. You will design and deliver lakehouse components, build pipelines, enable AI/ML, and implement governance.
Key Skills for This Role
Responsibilities
- Design and deliver end to end Databricks lakehouse components — ingestion, transformation, semantic layer, and serving
- Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers
- Lead the technical execution of the Synapse Analytics to Databricks migration
- Build and maintain robust ingestion and transformation pipelines from enterprise systems
- Apply strong CI/CD, DataOps, and infrastructure as code practices
- Build and operate feature store, MLOps, and LLMOps foundations on Databricks
- Enable production grade RAG, agent, and Copilot patterns
- Deliver Power BI semantic models, certified datasets, and self service guardrails
- Implement lineage, cataloguing, access control, data quality, and PDPL controls using Unity Catalog and Microsoft Purview
- Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness
Requirements
- Minimum of 7 years in data engineering or data platform work
- At least 3 years hands on with Databricks, Apache Spark, and Delta Lake at enterprise scale
- Contributed to the build or rebuild of an enterprise data platform serving multiple business domains
- Deep hands on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric
- Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent
- Governance shipped to production using Unity Catalog or Microsoft Purview
- Practical FinOps outcomes on cloud spend
- Strong on CI/CD, Git, Azure DevOps, and infrastructure as code (Terraform or Bicep)
- Excellent written and verbal communication skills across technical and business audiences
- Databricks Certified Data Engineer Professional (Associate considered with condition)
Full Job Posting
Role Overview
- Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures.
- The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog.
- This role sits within Amana's Data Science, Governance & AI Centre of Excellence.
Core Responsibilities
- Design and deliver end to end Databricks lakehouse components — ingestion, transformation, semantic layer, and serving.
- Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
- Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
- Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems.
- Apply strong CI/CD, DataOps, and infrastructure as code practices using Git, Azure DevOps, and Terraform or Bicep.
- Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
- Enable production grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
- Deliver Power BI semantic models, certified datasets, and self service guardrails.
- Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
- Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
Required Qualifications
- Minimum of 7 years in data engineering or data platform work, with strong hands on delivery experience.
- At least 3 years hands on with Databricks, Apache Spark, and Delta Lake at enterprise scale.
- Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
- Deep hands on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
- Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
- Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational.
- Practical FinOps outcomes on cloud spend.
- Strong on CI/CD, Git, Azure DevOps, and infrastructure as code (Terraform or Bicep).
- Excellent written and verbal communication skills across technical and business audiences.
Preferred Qualifications
- Direct experience of a Synapse Analytics to Databricks migration.
- Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
- Familiarity with Power BI semantic models and enterprise BI governance.
- Streaming and event driven experience: Kafka, Event Hubs, Structured Streaming.
- Multi entity, multi country group exposure with mixed data residency considerations.
- Industry experience in construction, engineering services, manufacturing, energy, or logistics.
Certifications
- Mandatory: Databricks Certified Data Engineer Professional (Associate considered with condition).
- Preferred: Databricks Certified Machine Learning Professional, Databricks Certified Generative AI Engineer Associate, Microsoft Certified: Azure Data Engineer Associate (DP 203 / DP 700), Microsoft Certified: Fabric Analytics Engineer Associate (DP 600), Microsoft Certified: Azure Solutions Architec
Education
- M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
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