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.

Work arrangement
Yes