Data Architect - Indiana

Radcube, Llc
Indianapolis, IN, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

3d Models Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Cloud Engineering Data Architecture Data Integration Extract Transform Load (ETL) Metadata Enterprise Data Management Apache Spark
+4 more
Data Lakes Data Management Machine Learning Operations Databricks

Job description

Data Architect (Databricks Lakehouse AI) - Indianapolis, IN / OnsiteDefine scalable enterprise data architectures supporting Analytics, AI & GenAI initiativesStrong expertise in Databricks/Lakehouse, Spark, Delta Lake, cloud architecture & enterprise data modelingDesign ETL/ELT, data integration, governance, metadata, security & scalable data platformsUnity Catalog, MLflow, AWS/Azure & NVIDIA ecosystem experience preferredAI/ML, vector/semantic data architecture exposure is a strong plusMust be client-facing and consultative, with experience running discovery sessions and developing solution roadmapsPharma/healthcare experience preferred, not mandatoryIdeal for architects who can translate business/data challenges into scalable architectures and new engineering initiatives
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

Requirements

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

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