Data Lakehouse Architect - Data Onboarding, DataOps & Data Products
Quantum Integrators
Position - Data Lakehouse Architect – Data Onboarding, DataOps & Data Products
Location - Bridgewater, NJ
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.
Vacancy posted 7 days ago
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