1

Databricks Architect Jobs in Indiana (NOW HIRING)

Architect and implement scalable data solutions using the Databricks Lakehouse Platform, including Medallion architecture, streaming integration, and ACID-compliant designs. * Lead pre-sales and ...

Architect and implement scalable data solutions using the Databricks Lakehouse Platform, including Medallion architecture, streaming integration, and ACID-compliant designs. * Lead pre-sales and ...

Architect and implement scalable data solutions using the Databricks Lakehouse Platform, including Medallion architecture, streaming integration, and ACID-compliant designs. * Lead pre-sales and ...

Professionals in this area work across strategy, architecture, implementation, and deployment to ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Experience with Delta Lake, Unity Catalog, and Medallion architecture (Bronze / Silver / Gold) for Lakehouse analytics • Genie / AI-BI: Familiarity with Databricks Genie or AI/BI tools for natural ...

Work you'll do As a Databricks Manager on the AI & Data team, you will be responsible for ... Lead solution reviews and design update discussions to drive architecture decisions and secure ...

Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Apply data architecture, integration, and data modeling practices to improve data quality ...

Data Architect

Indianapolis, IN

$61 - $78.25/hr

Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry * Establish architecture standards for data integration, metadata, lineage, and data quality

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry * Establish architecture standards for data integration, metadata, lineage, and data quality

Sr Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

You will lead a team of architects and modelers, driving the evolution of our modern data platform leveraging Microsoft Azure, Snowflake, and Databricks. This role requires a blend of hands-on ...

Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging best-practice patterns and reference architectures.

next page

Showing results 1-20

Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
What are the most commonly searched types of Databricks Architect jobs in Indiana? The most popular types of Databricks Architect jobs in Indiana are:
What are popular job titles related to Databricks Architect jobs in Indiana? For Databricks Architect jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Indiana look for? The top searched job categories for Databricks Architect jobs in Indiana are:
What cities in Indiana are hiring for Databricks Architect jobs? Cities in Indiana with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Indiana as of June 2026, with employment types broken down into 80% Full Time, 11% Part Time, and 9% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Databricks Architect

Purple Drive Technologies

Indianapolis, IN • On-site

$62 - $81.25/hr

Full-time

Posted 13 days ago


Job description

Overview:
20+ years of experience delivering Data & AI-driven projects.
10+ Years of experience in Architecture, Providing Solutions especially in Cloud Platforms
7+ Years of experience in Data Acquisition Frameworks designs
7+ Years of experience in designing solutions in various ingestion patterns like CDC, Batch, Micro Batch, Real Time Data Streaming using Spark
7+ Years of Experience in designing solutions in handling Structured and Un-Structured Files
7+ Years of Experience in designing solutions in Data Files in ADLS Gen2, Storage Containers, Design Domain/Sub-Domain/Data Product Storage Containers
7+ Years of hands-on Knowledge and experience in Azure Cloud Platform
7+ Years of hands-on expertise in Databricks, Well understanding on Unity Catalog
2+ years of experience leveraging AI based code assistance tools (e.g., GitHub Copilot, Databricks Genie) to support code development, refactoring, and productivity.
7+ Years Experience in Building Data Layers w.r.t Medallion (Bronze/Silver/Gold) Architecture
5+ Years of Hands-on Experience in Data Engineering solutions in Python, PySpark, Databricks Notebooks.
5+ Years of Hands-on Experience in
GitHub, Data Pipelines and CI/CD
Experience defining data architecture standards, reference architectures, and design patterns across enterprise data platforms
Experience designing data governance, security, and access control models
Experience in Onshore/Offshore coordination and collaboration
Excellent in communication skills