Job Description

Job Description

Position - Data Lakehouse Architect – Data Onboarding, DataOps & Data Products

Location - United States/Canada

Duration - Long Term

Main Responsibilities

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• Work closely with Data Engineering, IT, Analytics, and Insights teams throughout the Lakehouse onboarding lifecycle.
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• Review project architecture, onboarding designs, and technical documents; provide actionable feedback and meet agreed SLAs for review and approval.
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• Guide teams on approved Bronze, Silver, and Gold patterns; lead POCs and establish new ingestion patterns when required.
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• Maintain the Lakehouse ingestion pattern library and update reusable onboarding guidance as platform capabilities evolve.
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• Work with Enterprise Architecture to keep designs, standards, and implementation guidelines current.
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• Adjust metadata, lineage, catalog, governance, data quality, and observability frameworks to support new patterns.
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• Review conceptual, logical, and semantic models for Gold data products, including business entities, KPIs, metrics, and reporting structures.
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• Drive DataOps and GenieOps guidelines, enablement, and rollout to support a large volume of production pipelines.
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Technical Knowledge

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• Databricks Certified Data Engineer – required
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• Microsoft Azure ecosystem and Azure Databricks
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• Lakeflow Connect, Delta Lake, Unity Catalog, and Medallion Architecture
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• Deep experience with connectors and ingestion from SAP, Salesforce, Snowflake, APIs, files, and enterprise applications
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• Pipeline scalability, production operations, performance tuning, observability, and cost optimization
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• Conceptual, logical, physical, and semantic data modeling
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• Implement cost optimization strategies.
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• Automate production monitoring using GenieOps.
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