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Databricks Architect Jobs in Indiana (NOW HIRING)

Lasting Change, Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

... Databricks strongly preferred. * Solid understanding of data lakes, data warehouses, and lakehouse architectures. * Working knowledge of Medallion Architecture design and implementation.

Lasting Change Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

... Databricks strongly preferred. * Solid understanding of data lakes, data warehouses, and lakehouse architectures. * Working knowledge of Medallion Architecture design and implementation.

POLYWOOD

VP of Data & Analytics

Syracuse, IN · On-site

Own the Databricks lakehouse environment and ensure it's structured, governed, and built for scale * Set the architectural standards, modeling conventions, and data quality frameworks that the whole ...

Pwc

Data Engineer - Manager

Indianapolis, IN · On-site

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

SEP

Senior Data Engineer (in person)

Westfield, IN

$101K - $138K/yr

Translate architectural direction into implementation plans * Communicate progress, risks, and ... Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

SEP

Senior Data Engineer (in person)

Westfield, IN

$101K - $138K/yr

Translate architectural direction into implementation plans * Communicate progress, risks, and ... Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Translate architectural direction into implementation plans * Communicate progress, risks, and ... Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Strategic, Hands-On Work - From data architecture and documentation to client workshops and ... Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and ...

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Strategic, Hands-On Work - From data architecture and documentation to client workshops and ... Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and ...

innovitusa

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Collaborate closely with architects, analysts, data scientists, and business stakeholders to ... Experience with Spark, Kafka, or Databricks. * SnowPro and/or AWS certifications. * Experience in ...

New

CSpring

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Strategic, Hands-On Work - From data architecture and documentation to client workshops and ... Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data architecture development and data modeling - Implementing data pipeline and data integration strategies ...

Eli Lilly and Company

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Develop and optimize data models, schemas, and data warehousing solutions (e.g., Databricks, AWS ... Participate in code reviews and ensure adherence to coding standards and architectural guidelines.

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

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

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN

$109K - $131K/yr

Working closely with Data Architects, they provide technical execution and development support ... Databricks), ETL/ELT tools, data engineering pipelines, and data science principles. * Strong ...

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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:
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:
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.

Fabric Data Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

$104K - $125K/yr

Full-time

Re-posted 6 days ago

Job description

The Fabric Data Engineer is an integral member of Lasting Change's data platform team, contributing hands-on to the development, optimization, and governance of Petra, the organization's enterprise data lakehouse built on Microsoft Fabric. This role focuses on building reliable, performant data pipelines and analytical data products that drive meaningful business insights across the organization.
The Fabric Data Engineer brings a strong builder mindset - equally comfortable writing high-quality transformation code, establishing agentic AI-assisted development workflows, and communicating clearly with business stakeholders to deliver solutions with measurable impact. This role is a key contributor to Lasting Change's mission of becoming a data-driven organization.
Requirements
Company Conformance Statements / Essential Personal Characteristics
In the performance of their respective tasks and duties, all employees are expected to conform to the following:
1. Perform quality work within deadlines with or without direct supervision.
2. Interact professionally with other employees, customers, and clients.
3. Work effectively as a team member.
4. Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
5. Exhibit exceptional integrity in all matters.
6. Lead by example.
Data Engineering & Pipeline Development
  • Design, implement, and manage ETL/ELT workflows within Microsoft Fabric, ensuring efficient data ingestion, transformation, and delivery.
  • Build and maintain Delta Lake solutions within a Medallion Architecture framework (Bronze, Silver, Gold layers), applying best practices for data quality, validation, and deduplication.
  • Integrate data from multiple internal and external systems using cloud-native services.
  • Monitor pipeline performance, proactively troubleshoot issues, and resolve bottlenecks.

Analytics & Reporting Enablement
  • Collaborate with analysts and stakeholders to understand business requirements and translate them into scalable technical solutions.
  • Develop analytical and dimensional data models optimized for reporting and self-service analytics.
  • Build and maintain Power BI semantic models, reports, and dashboards as needed.
  • Ensure datasets are well-documented, discoverable, and reliable for downstream use.
  • Communicate findings and data product status clearly to both technical and non-technical audiences, with a consistent emphasis on business value.

AI-Accelerated Development
  • Establish and operate agentic AI-assisted engineering workflows that generate the majority of transformation, pipeline, and documentation code upfront.
  • Leverage AI tooling to increase development velocity, improve code quality, and enhance consistency across data products.
  • Continuously refine AI usage patterns while maintaining quality, security, and governance standards.
  • Contribute to a culture of disciplined, high-output engineering through intentional use of AI tools.

Documentation & Quality
  • Maintain comprehensive technical documentation for all ETL processes, data logic, and system architecture.
  • Conduct testing and validation of data flows to ensure accuracy and compliance with data governance standards.
  • Contribute to and adhere to established coding, architecture, and documentation standards.

Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Use of Fingers
  • Feeling
  • Speaking
  • Hearing
  • Repetitive Motions
  • Capable of making sound decisions by use of reasonable and logical judgments.
  • Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel
Travel may be required occasionally to subsidiary sites and training opportunities.
Required Experience
  • 3-5 years of professional experience in data engineering, ETL orchestration, and multi-system data integration.
  • Hands-on experience with cloud data platforms; Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred.
  • Solid understanding of data lakes, data warehouses, and lakehouse architectures.
  • Working knowledge of Medallion Architecture design and implementation.
  • Proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL.
  • Experience with data modeling and dimensional modeling to support analytics and reporting.
  • Demonstrated use of AI tools to enhance development velocity, code quality, and documentation.
  • Strong communication skills with the ability to articulate technical concepts and business value clearly to varied audiences.
  • Highly organized, detail-oriented, and committed to advancing the organization's mission.

Preferred Qualifications
  • Experience building and maintaining Power BI reports and semantic models.
  • Microsoft Fabric, Azure, or other cloud platform certifications.
  • Experience with Microsoft Fabric or Databricks as a primary platform.
  • Familiarity with dbt or other data quality and transformation frameworks.
  • Experience in a nonprofit or mission-driven organizational context.
  • Familiarity with agentic AI development workflows and/or MCP (Model Context Protocol) integration.
  • Commitment to continuous learning and professional growth.

Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required by the employee. Management reserves the right to assign or reassign duties, activities, and responsibilities to this position at any time, with or without notice.

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