Data Lakehouse Architect - Data Onboarding, DataOps & Data Products

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

Location - United States/Canada

Duration - Long Term

Main Responsibilities

• Work 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 Knowledge

• Databricks Certified Data Engineer – required


• Microsoft Azure ecosystem and Azure Databricks


• Lakeflow Connect, Delta Lake, Unity Catalog, and Medallion Architecture


• Deep experience with connectors and ingestion from SAP, Salesforce, Snowflake, APIs, files, and enterprise applications


• Pipeline scalability, production operations, performance tuning, observability, and cost optimization


• Conceptual, logical, physical, and semantic data modeling


• Implement cost optimization strategies.


• Automate production monitoring using GenieOps.