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Manager Data Architecture Jobs in Indiana (NOW HIRING)

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

... , CRM (Salesforce), and document repositories (SharePoint). * Automate the ingestion and ... Serve as the formal infrastructure checkpoint before cognitive architecture development begins ...

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN

$109K - $131K/yr

Solid understanding of enterprise architecture patterns, API management, and real-time data streaming technologies (e.g., Kafka, Amazon Kinesis). * Structured Data Modeling: Practical experience with ...

Cummins

SAP Data Solution Architect

Indianapolis, IN · On-site +1

$105K - $158K/yr

... management. * Audit solution designs to ensure alignment with established architecture standards and patterns. * Monitor system performance and proactively mitigate risks when introducing new ...

New

CSpring

Project Manager - Data

Indianapolis, IN · On-site

$49 - $66.50/hr

Strategic, Hands-On Work - From data architecture and documentation to client workshops and ... Manage scope and change control, documenting requests, assessing impact, and securing approvals ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Responsibilities - Designing and implementing thorough data architecture strategies - Analyzing ...

Onebridge

Data Practice Lead

Indianapolis, IN · On-site +1

Architect and guide the implementation of scalable data solutions across modern cloud data ... direct people-management responsibilities. * Stay current on platform evolution and emerging ...

Onebridge

Data Practice Lead

Indianapolis, IN · On-site

Architect and guide the implementation of scalable data solutions across modern cloud data ... direct people-management responsibilities. * Stay current on platform evolution and emerging ...

Deckers

Define standards for metadata capture, lineage tracking, data quality measurement, and access management across platform services and tooling * Provide architectural leadership and mentorship to ...

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Manager Data Architecture information

What are the key skills and qualifications needed to thrive as a manager data architecture?

To thrive as a Manager Data Architecture, you need deep expertise in data modeling, database management, and enterprise data strategy, typically backed by a degree in computer science or a related field. Proficiency with tools like SQL, data warehousing platforms (e.g., Snowflake, Redshift), and frameworks such as TOGAF, along with relevant certifications, is often required. Strong leadership, communication, and problem-solving skills help drive cross-functional collaboration and guide data architecture teams. These competencies are critical for ensuring scalable, secure, and efficient data solutions that support business goals.

What are some common challenges faced by a manager data architecture, and how can they be effectively addressed?

A Manager Data Architecture often faces challenges like integrating data from disparate sources, ensuring data quality, and aligning data strategies with evolving business goals. Addressing these issues typically involves collaborating closely with IT, business stakeholders, and data governance teams to create robust data models and clear documentation. Proactively staying updated on emerging technologies and industry best practices also helps in anticipating potential roadblocks and implementing scalable, future-proof solutions.

What does a manager data architecture do?

A Manager Data Architecture oversees the design, implementation, and maintenance of an organization's data systems and structures. They ensure data is stored, managed, and accessed efficiently and securely, aligning data solutions with business needs. This role involves leading a team of data architects, collaborating with IT and business stakeholders, and setting data governance standards. They are critical in enabling data-driven decision making and supporting digital transformation initiatives within an organization.

What is the difference between Manager Data Architecture vs Data Engineer?

AspectManager Data ArchitectureData Engineer
CredentialsBachelor's or Master's in Computer Science, Data Management, or related fields; often certifications in data architecture or cloud platformsBachelor's in Computer Science, Software Engineering, or related; certifications in data engineering or cloud services are common
Work EnvironmentOversees data teams, designs data systems, collaborates with stakeholders, and manages data architecture projectsBuilds, develops, and maintains data pipelines, works with large datasets, and implements data solutions
Employer & Industry UsageUsed in organizations with complex data needs, including finance, healthcare, and tech companiesCommon in tech firms, startups, and any company with data infrastructure needs

The main difference is that a Manager Data Architecture focuses on designing and overseeing data systems and strategies, while a Data Engineer primarily builds and maintains the data pipelines and infrastructure. Both roles require strong technical skills, but the manager role emphasizes leadership and strategic planning.

What are popular job titles related to Manager Data Architecture jobs in Indiana? For Manager Data Architecture jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Manager Data Architecture jobs in Indiana look for? The top searched job categories for Manager Data Architecture jobs in Indiana are:
What cities in Indiana are hiring for Manager Data Architecture jobs? Cities in Indiana with the most Manager Data Architecture job openings:
Manager Data Architecture jobs near you
Infographic showing various Manager Data Architecture job openings in Indiana as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI Data Architect

BraunAbility

Winamac, IN • On-site

$58.75 - $75.50/hr

Full-time

Re-posted 18 days ago

BraunAbility rating

6.5

Company rating: 6.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

404th of 487 rated machine equipment manufacturers

Job description

Job Description:
Essential Functions:
  • Data Pipelining & Infrastructure

  • Build, optimize, and maintain the data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM (Salesforce), and document repositories (SharePoint).

  • Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highly accurate Retrieval-Augmented Generation (RAG) architectures.

  • Map complex enterprise data schemas to identify the exact tables, fields, and payloads required to support the cognitive architecture designed by the AI Studio Lead.

  • Build and maintain development and testing environments that allow the Studio to experiment rapidly without risking production systems.

  • Security, Governance & Compliance

  • Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment - ensuring AI agents only query data explicitly authorized for the specific end-user.

  • Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level.

  • Serve as the formal infrastructure checkpoint before cognitive architecture development begins - confirming pipeline stability, RBAC compliance, and data integrity prior to any build phase commencing.

  • Monitor data flows for system drift, broken APIs, or context collapse, ensuring AI outputs remain accurate and safe for both office and factory floor operations.

  • Establish and maintain Service Level Agreements (SLAs) for pipeline uptime - detecting and communicating failures before end-users are impacted.

  • Platform Integration & IT Liaison

  • Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack.

  • Serve as the primary technical liaison to BAA IT and Global Data Architecture, ensuring infrastructure provisioning, database access, and cloud networking meet enterprise standards.

  • Advocate for the AI Studio's technical needs within the broader IT governance ecosystem.

  • Implement automated alerting systems for data pipeline failures.

Knowledge, Skills, Abilities:
  • Deep technical expertise working with SQL, enterprise data lakes, and ETL/ELT pipeline construction.

  • Strong proficiency in building and securing API integrations between disparate cloud and on-premises systems.

  • Experience implementing strict security frameworks and Role-Based Access Controls (RBAC) at the database and application layer.

  • Exceptional troubleshooting and debugging skills - able to independently diagnose integration issues across legacy platforms without waiting for vendor support.

  • Comfort operating in a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.

Minimum Requirements:
  • Bachelor's degree and minimum of 6 years of related work experience required.

  • An equivalent combination of education and/or related work experience equal to 10 years will also be considered.

  • 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

BraunAbility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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