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Databricks Software Jobs in Indiana (NOW HIRING)

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things. * You'll join a team that's warm and grounded. People here help each other, share what ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things. * You'll join a team that's warm and grounded. People here help each other, share what ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things. * You'll join a team that's warm and grounded. People here help each other, share what ...

... Data Science, Software Engineering, or a related quantitative field. • 7+ Years in Data ... Databricks, or BigQuery). Mastery of SQL is non-negotiable. • Advanced Python and/or Go/Java for ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Hands-on experience with cloud data platforms and pipeline tools; experience with Azure (Data Factory, Azure SQL, ADLS) and Databricks preferred. * Proficiency in SQL and Python. * Experience ...

Data Engineer

Indianapolis, IN

$109K - $131K/yr

Hands-on experience with cloud data platforms and pipeline tools; experience with Azure (Data Factory, Azure SQL, ADLS) and Databricks preferred. * Proficiency in SQL and Python. * Experience ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... Databricks, Snowflake, or related data and AI credentials - Demonstrating proficiency in AI ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... with Databricks, lakehouse architectures, or similar platforms • Exposure to AI/ML workflows, including feature engineering and model data preparation • Familiarity with POS and retail data ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Senior Data Scientist

Indianapolis, IN · On-site

$120 - $160/hr

... software development best practices in Python, R, or other scripting languages. The role includes working within modern data platforms, such as Databricks, to develop and optimize scalable data ...

Showing results 41-60

Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What cities in Indiana are hiring for Databricks Software jobs?

Cities in Indiana with the most Databricks Software job openings:

Senior AI Architect, Indianapolis, IN

Agility 360

Indianapolis, IN • On-site

Full-time, Contractor

Re-posted 27 days ago


Job description

Job Openings >> Senior AI Architect, Indianapolis, IN
Senior AI Architect, Indianapolis, IN
Summary
Title: Senior AI Architect, Indianapolis, IN ID: 1849 Location: Indianapolis, IN
Description

Senior AI Architect, Indianapolis, IN

Agility 360 seeking a Senior AI Architect for a client in Indianapolis, IN. This person will be responsible for shaping enterprise-wide AI architecture and driving scalable, ethical, and high-impact AI solutions. This role requires strong systems thinking, hands-on experience with AI/ML and GenAI technologies, and the ability to translate business needs into practical, production-ready solutions.
ESSENTIAL JOB FUNCTIONS

  • Partner with business leaders, product managers, and stakeholders to understand workflows, constraints, and AI opportunities
  • Assess AI use cases for feasibility, data readiness, architecture impact, and delivery risk
  • Translate business requirements into scalable AI solution architectures and technical designs
  • Design enterprise-grade AI solutions including data flows, integrations, security, and monitoring
  • Develop architecture artifacts such as workflows, diagrams, and decision records
  • Recommend AI approaches (ML, GenAI, RAG, agentic workflows, automation, hybrid models)
  • Ensure solutions meet standards for scalability, reliability, compliance, and responsible AI
  • Collaborate with architecture, security, data, and governance teams to align with enterprise standards
  • Build prototypes, PoCs, and reference implementations to validate solutions and reduce risk
  • Provide hands-on technical guidance, design reviews, and troubleshooting support
  • Mentor engineers and cross-functional teams through coaching and knowledge sharing
  • Establish reusable AI architecture standards, patterns, and best practices
  • Define and promote responsible AI principles including transparency, privacy, and oversight
  • Continuously evaluate emerging AI technologies and incorporate practical innovations
  • Capture lessons learned and develop reusable playbooks and architecture guidance
EDUCATION / EXPERIENCE REQUIREMENTS
  • Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's preferred
  • 10+ years of software engineering or architecture experience with 5+ years in AI/ML solutions
  • Strong expertise in AI/ML system design, MLOps, and cloud-native architectures
  • Experience with LLMs, RAG architectures, vector databases, and modern AI frameworks
  • Hands-on experience with platforms such as AWS SageMaker, Azure ML, Vertex AI, Databricks, or OpenAI APIs
  • Proven ability to lead architecture decisions and collaborate across enterprise teams
  • Knowledge of AI governance, responsible AI practices, and data privacy/security standards
  • Strong communication, organizational, and problem-solving skills
  • Experience with enterprise architecture frameworks (Zachman/TOGAF) preferred
  • Cloud or architecture certifications (AWS, Azure) preferred

ADDITIONAL DETAILS

  • Location: on-site in Indianapolis, IN
  • Contract to hire
  • Salary: Commensurate with experience.
Apply Now
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