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Databricks Architect Jobs in Indiana (NOW HIRING)

Buaut

BI Developer

Lebanon, IN · On-site

The ideal candidate should have strong hands-on experience with Azure Databricks, Microsoft Fabric ... Collaborate with business stakeholders, solution architects, BI developers, and cross-functional ...

POLYWOOD

Director | Data Engineering

Syracuse, IN · On-site

Design and implement a scalable lakehouse medallion architecture within Databricks. * Establish ingestion, canonical, and business-ready data modeling layers with clear standards and naming ...

Deloitte

Lead Data Engineer

Indianapolis, IN · On-site

$98K - $129K/yr

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

Onebridge

AI/ML Technical Lead

Indianapolis, IN · On-site

... architecture, design, and implementation of ML/AI solutions, ensuring scalability, security, and performance. • Define technical strategy and roadmap for ML/AI initiatives, leveraging Databricks ...

Masco Corporation

AI Agent Developer

Indianapolis, IN · On-site

Architect pipelines that connect transactional, inventory, and ERP feeds into real-time copilots with * Orchestrate workflows across Microsoft Fabric, Dynamics 365, and Databricks Lakehouse (Bronze ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... Databricks, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g ...

Vergence

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark. Data Modeling ...

Jj

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive ...

Johnson & Johnson

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive ...

Allegion

Lead Platform Data Engineer

Carmel, IN

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

Jj

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

As a Lead Platform Data Engineer, you will oversee the data architecture connecting product ... Databricks, or BigQuery). Mastery of SQL is non-negotiable. • Advanced Python and/or Go/Java for ...

Johnson & Johnson

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

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Showing results 21-40

All JobsDatabricks Architect JobsDatabricks Architect Jobs in Indiana

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?

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.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
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:
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What cities in Indiana are hiring for Databricks Architect jobs? Cities in Indiana with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

AI/ML Presales Solutions Architect

Onebridge

Indianapolis, IN • On-site

Full-time

Re-posted 26 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled AI/ML Presales Solutions Architect to join our innovative and dynamic team.
AI/ML Presales Solutions Architect | About You
As an AI/ML Presales Solutions Architect, you are the technical authority supporting client conversations early in the sales cycle. You are responsible for understanding client problems, determining the right AI/ML approach, and shaping feasible, valuable solutions that align with both client needs and delivery capabilities. You thrive in exploratory, client-facing environments where discovery, judgement, and solution framing matter more than hands-on model building. You partner closely with sales to accelerate opportunities while ensuring we never over-commit beyond what can realistically be delivered. You bring broad knowledge across AI, data platforms, and cloud ecosystems and are comfortable explaining what is possible, what is not, and the tradeoffs between different approaches.
AI/ML Presales Solutions Architect | Day-to-Day
  • Act as the primary technical presales partner, supporting multiple client engagements across discovery, solution design, and capability discussions.
  • Lead early client conversations to understand business problems and determine the fastest, most effective path to an AI/ML solution using preferred client technologies.
  • Translate open-ended client challenges, such as model drift, OCR alternatives, AI automation needs, into clear solution approaches, architecture options, and recommendations.
  • Define solution architecture, tradeoffs, timelines, and required resources, pulling in delivery teams or subject-matter experts only when needed.
  • Guide the AI Lab and technical teams by synthesizing client discovery into clear direction for demos, proofs of concept, and presentations.
  • Create client-facing materials, including slide decks, architecture diagrams, solution flows, implementation approach, and discovery plans.
  • Partner with sales leadership on estimations, pricing inputs, and scope definition, ensuring alignment between proposed solutions and delivery feasibility.
  • Stay current on emerging AI tools, platforms, and market trends, continuously evaluating how new capabilities integrate into existing ecosystems.

AI/ML Presales Solutions Architect | Skills & Experience
  • 10+ years of experience spanning AI/ML, data platforms, cloud architecture, or advanced analytics, with strong client-facing exposure.
  • Proven experience in sales engineering, presales solutioning, or technical consulting roles supporting enterprise clients.
  • Broad knowledge of AI/ML use cases and architectures, with the ability to evaluate solutions across platforms such as Databricks, Snowflake, Azure, Salesforce, and related ecosystems.
  • Strong ability to conduct solution discovery, assess feasibility, identify risks, and articulate architectural tradeoffs.
  • Experience creating client-facing presentations, architecture diagrams, and solution narratives that support sales cycles.
  • Comfortable working at the intersection of sales, delivery, and technical leadership, knowing when to escalate or pull in additional expertise.
  • Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical stakeholders.

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