Databricks Architect

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $170k - $220k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

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v4c.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.

📋 Description

• Own the target-state Lakehouse architecture on enterprise engagements, including ingestion, storage, transformation, serving, and governance layers • Lead architecture assessments of legacy estates and produce migration paths with sequencing, risk, and effort • Define data modeling standards and Medallion layer conventions, and hold engineering teams to them across concurrent workstreams • Set the Unity Catalog governance model, including catalogs, schemas, access patterns, lineage, and audit posture • Make and document platform trade-offs involving compute sizing, storage format, streaming versus batch, and build versus buy, with cost and performance reasoning • Provide technical input into scoping and effort estimation on new engagements, including pre-sales discovery and proof-of-concept design • Mentor senior engineers, review designs, and raise the architectural bar across the practice • Produce reference architectures, diagrams, and internal accelerators

🎯 Requirements

• 8+ years in data engineering/architecture or analytics platform development • Demonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms, from design through production • Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform (Teradata, Informatica, Hadoop, Netezza, or equivalent) • Strong proficiency in Python and SQL • Working knowledge of Apache Spark and distributed processing fundamentals • Experience with data modeling across dimensional, normalized, and Lakehouse patterns • Experience with CI/CD and DevOps practices for data platform deployment • Healthcare or life sciences experience preferred but not required • Databricks Certified Data Engineer Professional or a Platform Architect preferred • Hands-on Databricks experience at scale: Unity Catalog, Delta Lake, Lakeflow, Asset Bundles preferred • Experience with MLOps or productionizing machine learning workloads preferred • Prior professional services, consulting, or customer-facing architecture background preferred • Experience contributing to pre-sales scoping or technical proposals preferred

🏖️ Benefits

• Unlimited PTO • Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Work from Home 3 days per week • Databricks certification roadmap taught in-house by Databricks-approved trainers • Dedicated Employee Success Manager

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