Data Lakehouse Architect – Data Onboarding, DataOps & Data Products
Quantum Integrators · Bridgewater, New Jersey, United States
FULL TIMEpermanent
Job Description
Position - Data Lakehouse Architect – Data Onboarding, DataOps & Data ProductsLocation - United States/CanadaDuration - Long Term
You could be just the right applicant for this job Read all associated information and make sure to apply.
Main ResponsibilitiesWork closely with Data Engineering, IT, Analytics, and Insights teams throughout the Lakehouse onboarding lifecycle.Review project architecture, onboarding designs, and technical documents; provide actionable feedback and meet agreed SLAs for review and approval.Guide teams on approved Bronze, Silver, and Gold patterns; lead POCs and establish new ingestion patterns when required.Maintain the Lakehouse ingestion pattern library and update reusable onboarding guidance as platform capabilities evolve.Work with Enterprise Architecture to keep designs, standards, and implementation guidelines current.Adjust metadata, lineage, catalog, governance, data quality, and observability frameworks to support new patterns.Review conceptual, logical, and semantic models for Gold data products, including business entities, KPIs, metrics, and reporting structures.Drive DataOps and GenieOps guidelines, enablement, and rollout to support a large volume of production pipelines.
Technical KnowledgeDatabricks Certified Data Engineer – requiredMicrosoft Azure ecosystem and Azure DatabricksLakeflow Connect, Delta Lake, Unity Catalog, and Medallion ArchitectureDeep experience with connectors and ingestion from SAP, Salesforce, Snowflake, APIs, files, and enterprise applicationsPipeline scalability, production operations, performance tuning, observability, and cost optimizationConceptual, logical, physical, and semantic data modelingImplement cost optimization strategies. xzbcwsv Automate production monitoring using GenieOps.
You could be just the right applicant for this job Read all associated information and make sure to apply.
Main ResponsibilitiesWork closely with Data Engineering, IT, Analytics, and Insights teams throughout the Lakehouse onboarding lifecycle.Review project architecture, onboarding designs, and technical documents; provide actionable feedback and meet agreed SLAs for review and approval.Guide teams on approved Bronze, Silver, and Gold patterns; lead POCs and establish new ingestion patterns when required.Maintain the Lakehouse ingestion pattern library and update reusable onboarding guidance as platform capabilities evolve.Work with Enterprise Architecture to keep designs, standards, and implementation guidelines current.Adjust metadata, lineage, catalog, governance, data quality, and observability frameworks to support new patterns.Review conceptual, logical, and semantic models for Gold data products, including business entities, KPIs, metrics, and reporting structures.Drive DataOps and GenieOps guidelines, enablement, and rollout to support a large volume of production pipelines.
Technical KnowledgeDatabricks Certified Data Engineer – requiredMicrosoft Azure ecosystem and Azure DatabricksLakeflow Connect, Delta Lake, Unity Catalog, and Medallion ArchitectureDeep experience with connectors and ingestion from SAP, Salesforce, Snowflake, APIs, files, and enterprise applicationsPipeline scalability, production operations, performance tuning, observability, and cost optimizationConceptual, logical, physical, and semantic data modelingImplement cost optimization strategies. xzbcwsv Automate production monitoring using GenieOps.
Details
| Company | Quantum Integrators |
| Location | Bridgewater, New Jersey, United States |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |