Data Architect - Indiana

RADcube

Indianapolis, Northern (IN, KY)

Hybrid

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

RADcube is seeking a senior Data Architect in Indianapolis, IN to define scalable enterprise data architectures that support analytics, AI, and GenAI initiatives for a client. The role emphasizes strong AWS and Databricks lakehouse capabilities and alignment with enterprise tech stack standards.

The architect will collaborate with business units and engineering teams to understand existing data environments, identify gaps, and design future-state data platforms with governance, security, and

Qualifications

  • Strong background in data architecture and data engineering.
  • Expertise in AWS services (RDS, S3, AWS Glue) and Databricks lakehouse.
  • Experience with NoSQL and relational databases in enterprise settings.
  • Knowledge of data governance, security, and metadata management.
  • Excellent client-facing and consultative communication skills.

Responsibilities

  • Design and own end to end data architecture on AWS and Databricks.
  • Define lakehouse architecture with medallion layers and Delta Lake.
  • Architect solutions across NoSQL and relational databases.
  • Define enterprise data models, ETL/ELT and data integration patterns.
  • Define metadata, governance, security, and access patterns for regulated data.
  • Ensure performance and scalability of the platform.
  • Run discovery sessions and create solution roadmaps.
  • Guide data engineers on patterns and best practices.
  • Contribute to growth of the engagement.

Skills

AWS ecosystem
Databricks
Lakehouse architecture
Regulated data
Client facing

Tools

Databricks
AWS

Job description

Indianapolis, United States | Posted on 10/02/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing.

Their core service portfolio includes:

  • Digital Transformation and strategy consulting.
  • Custom Software Development tailored to specific business needs.
  • Advanced Data Analytics and AI-driven platforms.
  • Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

Data Architect

Location: Indianapolis, IN

Work Arrangement: Onsite/Hybrid, client facing

Local candidates only

Position Overview

We are seeking senior Data Architects to define scalable enterprise data architectures supporting analytics, AI, and GenAI initiatives for our client. The ideal candidate has strong expertise in the AWS ecosystem and deep experience architecting Databricks lakehouse solutions, aligned with enterprise tech stack standards. The architect will work closely with business units and engineering teams to understand existing data environments, identify gaps, and design future state data platforms. This role supports one of our client's business units, with potential to expand.

Project Context

  • Focused on clinical data (non hospital settings) within the life sciences and pharmaceutical domain.
  • Involves working across multiple data sources and enabling scalable data product ecosystems.
  • Regulated data environment, where HIPAA compliance experience is highly preferred.

Key Responsibilities

  • Design and own end to end data architecture on AWS and Databricks.
  • Design AWS based data platforms using RDS, S3, AWS Glue, Redshift, IAM, and related services.
  • Define lakehouse architecture, including medallion layers, Delta Lake, and Unity Catalog.
  • Architect solutions across both NoSQL and relational databases.
  • Define enterprise data models, ETL/ELT architecture, and data integration patterns.
  • Define metadata, governance, security, and access patterns for regulated data.
  • Ensure performance and scalability of the platform.
  • Apply modern data architecture practices, including data products, MCP, and Agentic AI frameworks.
  • Run discovery sessions, create solution roadmaps, and convert business and data problems into additional engineering initiatives.
  • Guide data engineers on patterns and best practices.
  • Contribute to the growth of the overall engagement.
Requirements

Required Qualifications

  • Strong background in data architecture and data engineering.
  • Strong expertise in the AWS ecosystem (RDS, S3, AWS Glue).
  • Proven Databricks and Lakehouse architecture experience, including Spark and Delta Lake.
  • Experience with both NoSQL and relational databases.
  • Enterprise data modeling, ETL/ELT architecture, and data integration.
  • Metadata, governance, and security design.
  • Exposure to modern data architectures, including data products.
  • Client facing and consultative, with excellent communication skills.
  • Must be local to Indianapolis, IN and able to work onsite.

Preferred Experience

  • Unity Catalog, MLflow
  • Exposure to MCP and Agentic AI frameworks
  • AI/ML data architecture, vector and semantic data architecture
  • NVIDIA ecosystem
  • Databricks or AWS architect certification
Ideal Candidate

A consultative architect with deep AWS and Databricks expertise who understands clinical and regulated data, presents well to leaders, and turns discoveries into new initiatives that expand the engagement.

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