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Azure Data Architect Jobs in Indiana (NOW HIRING)

RADcube

Senior Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

AWS Data Architect - Databricks Hybrid - Indianapolis, IN About the Role We are seeking a Data ... Cloud platforms -- AWS (S3, Glue, Athena) and/or Azure/Google Cloud Platform equivalents * Data ...

Allegion

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own and architect Data Hub processes and workflows, including data ingestion pipelines ... Advanced experience designing and optimizing Azure SQL Databases or similar platforms for ...

Allegion

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own and architect Data Hub processes and workflows, including data ingestion pipelines ... Advanced experience designing and optimizing Azure SQL Databases or similar platforms for ...

Yochana IT Solutions Inc

Azure Architect

Indianapolis, IN · On-site

$60.75 - $79/hr

Role - Contract To H ire - At least 3 to 4 Years of Experience as Solution Architect with MS Azure Platform (PaaS Build) - Experience in MS Azure Analytics experience (Azure SQL Data Warehouse ...

Circle K

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

... across Azure, Snowflake, Databricks, and related data technologies. Key Responsibilitiesand Accountabilities This role owns the architecture function for the full data lifecycle, from source ...

Marlabs

Snowflake Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and largescale modernization efforts. * Define and implement architectural ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Buaut

BI Developer

Lebanon, IN · On-site

Design, develop, and maintain scalable data pipelines using Azure Databricks. * Develop ETL/ELT ... Collaborate with business stakeholders, solution architects, BI developers, and cross-functional ...

Marlabs

Snowflake Architect

Indianapolis, IN · On-site

Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and large-scale modernization efforts. * Define and implement architectural ...

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Azure Data Architect information

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How much do azure data architect jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for azure data architect in Indiana is $67.07, according to ZipRecruiter salary data. Most workers in this role earn between $58.08 and $75.72 per hour, depending on experience, location, and employer.

What is an Azure Data Architect?

An Azure Data Architect is a professional responsible for designing and implementing data solutions using Microsoft Azure cloud services. They develop data strategies, create data models, and ensure data security and compliance, often working with tools like Azure Data Factory, Azure SQL Database, and Azure Data Lake. Certification such as Microsoft Certified: Azure Data Engineer Associate is commonly pursued in this role.

What are the key skills and qualifications needed to thrive as an Azure Data Architect?

To thrive as an Azure Data Architect, you need in-depth knowledge of data architecture principles, cloud computing, and strong expertise in Microsoft Azure data services, typically demonstrated by a relevant bachelor's degree and industry certifications such as Microsoft Certified: Azure Solutions Architect Expert. Familiarity with tools like Azure Data Factory, Azure SQL Database, Synapse Analytics, and data modeling software is essential. Excellent problem-solving skills, strong communication, and the ability to work collaboratively with cross-functional teams are vital soft skills. These abilities ensure that data solutions are effectively designed, implemented, and aligned with business objectives in complex cloud environments.

Is data architect in demand?

Data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. Skills in cloud platforms like Azure, data modeling, and database design are especially valuable, and the role often requires certifications and experience with data governance and security. The demand is expected to grow as data-driven decision-making becomes more critical across industries.

What are some common challenges faced by Azure Data Architects in their daily work?

Azure Data Architects often face challenges such as designing scalable and secure data solutions that meet evolving business requirements, integrating legacy on-premises systems with cloud-based platforms, and keeping up with rapid advancements in Azure services and best practices. Collaborating closely with developers, data engineers, and business stakeholders is crucial to ensure seamless data flow and reliable analytics. Additionally, managing data governance, security, and cost optimization on Azure platforms often requires proactive planning and continuous improvement. Adapting to these challenges helps Azure Data Architects deliver robust, future-proof data architectures that drive organizational success.

What does an Azure Data Architect do?

An Azure Data Architect designs, implements, and manages data solutions on Microsoft Azure. They develop data pipelines, optimize storage, and ensure data security and compliance. Their role involves working with Azure services like Synapse Analytics, Data Factory, and Cosmos DB to enable efficient data processing and analytics. They also collaborate with data engineers and business stakeholders to create scalable and reliable data architectures.

What are popular job titles related to Azure Data Architect jobs in Indiana?

For Azure Data Architect jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Azure Data Architect jobs in Indiana look for?

The top searched job categories for Azure Data Architect jobs in Indiana are:

Azure Data Architect jobs near you
Infographic showing various Azure Data Architect job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $139,500 per year, or $67.1 per hour.

Senior Data Architect

RADcube

Indianapolis, IN • On-site

$64.25 - $86/hr

Other

Posted 4 days ago

Job description

AWS Data Architect - Databricks
Hybrid – Indianapolis, IN 
 
About the Role
 
We are seeking a Data Architect with 3–5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This is a senior-flavored engineering role that combines hands-on pipeline and platform work with significant business-facing responsibility — including translating business needs into technical specs, presenting to executive-level stakeholders, and helping stand up new data domains from the ground up. You will design, build, and govern the data infrastructure that powers analytics and reporting across the business, while also acting as a trusted technical partner to non-technical stakeholders.
 
Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines (batch and streaming) using Databricks, AWS, and related orchestration tools
  • Write and optimize advanced SQL, and build data transformations in Python or Scala
  • Integrate external data sources via APIs and manage pipeline orchestration (Airflow, Databricks Workflows, AWS Glue)
  • Apply data quality, governance, cataloging, and lineage practices aligned with regulated-industry standards
  • Work within GxP-regulated data environments and apply awareness of data privacy/compliance considerations (e.g., 21 CFR Part 11, GDPR where applicable)
  • Partner with business stakeholders across the pharma value chain (R&D, Manufacturing & Quality, Commercial, Drug Development) to gather and translate requirements into technical specifications
  • Present technical work and data strategy to executive-level audiences
  • Prioritize high-impact data initiatives and proactively identify and avoid duplicated data efforts
  • Support change management and adoption of new data solutions across business teams
  • Help stand up new data domains from scratch (green-field build), not just maintain existing ones
 
Required Qualifications
Data Engineering & Pipelines
  • ETL/ELT development (batch and streaming)
  • Advanced SQL (joins, window functions, query optimization)
  • Python or Scala for data transformation
  • Data pipeline orchestration (Airflow, Databricks Workflows, AWS Glue)
  • API integration for external data source ingestion
Platforms & Tools
  • Databricks (Delta Lake, Unity Catalog, Genie)
  • Cloud platforms — AWS (S3, Glue, Athena) and/or Azure/Google Cloud Platform equivalents
  • Data warehousing concepts (dimensional modeling, star schema)
  • BI/visualization tools (Tableau, Power BI, or similar) to understand downstream consumption
Data Quality & Governance
  • Data profiling and cleansing techniques
  • Metadata management and data cataloging
  • Master data management (MDM) principles
  • Data lineage tracking
  • Data governance frameworks (especially regulated-industry standards)
Pharma / Life Sciences Domain Knowledge
  • Familiarity with GxP-regulated data environments
  • Understanding of the pharma value chain (R&D, Manufacturing & Quality, Commercial, Drug Development)
  • Awareness of data privacy/compliance considerations (21 CFR Part 11, GDPR where applicable)
  • Knowledge of common pharma data domains (clinical, manufacturing, quality, commercial)
Stakeholder Management
  • Requirements gathering and translation (business need → technical spec)
  • Cross-functional communication (Business ↔ IT)
  • Executive-level presentation skills (given EC visibility)
  • Change management / adoption support
Analytical & Strategic Thinking
  • Prioritization frameworks (identifying high-impact vs. low-value data asks)
  • Cost-avoidance mindset (spotting duplication before it happens)
  • Ability to work with ambiguity and evolving priorities
Project & Program Skills
  • Agile/Scrum familiarity
  • Documentation discipline (data dictionaries, source-to-target mappings)
  • Vendor/partner coordination (if external data sources are involved)
Nice-to-Have Differentiators
  • Prior consulting or client-facing delivery experience
  • Experience standing up new data domains from scratch (green-field vs. maintenance)
  • Familiarity with AI/GenAI-enabled analytics tools

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