Data Architect (Databricks | Lakehouse | AI) - Indianapolis, IN / Onsite

Define scalable enterprise data architectures supporting Analytics, AI & GenAI initiatives

Strong expertise in Databricks/Lakehouse, Spark, Delta Lake, cloud architecture & enterprise data modeling

Design ETL/ELT, data integration, governance, metadata, security & scalable data platforms

Unity Catalog, MLflow, AWS/Azure & NVIDIA ecosystem experience preferred

AI/ML, vector/semantic data architecture exposure is a strong plus

Must be client-facing and consultative, with experience running discovery sessions and developing solution roadmaps

Pharma/healthcare experience preferred, not mandatory

Ideal for architects who can translate business/data challenges into scalable architectures and new engineering initiatives

Erforderliche Kompetenzen

Databricks lakehouse architecture (Delta Lake, Unity Catalog, medallion layers)AWS data platform design (S3, Glue, Redshift, IAM)Data modeling (dimensional and enterprise)Data governance and security designData engineering and end-to-end data architectureStakeholder management and executive communicationTranslating business requirements into technical solutionsLeading architecture reviews and solution designGuiding and mentoring data engineers on patterns and best practicesPreparing data for AI use cases and identifying AI opportunitiesExperience with NVIDIA or related AI/data ecosystemDatabricks or AWS architect certification (preferred)Pharmaceutical or life sciences domain experience (preferred)

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