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Remote Enterprise Data Management Jobs in Indiana

Snowflake Architect

Indianapolis, IN ยท On-site +1

$61 - $78.50/hr

You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and well-governed platforms from the start. You collaborate ...

United States (Remote) Interested applicants must reside in one of the following approved states ... enterprise-wide data governance, data quality, and data management policies, ensuring our data is ...

$130K - $150K/yr

... between the Enterprise Data Intelligence team and business unit leaders to manage the M&A ... Candidates in Chicago working on a hybrid schedule is preferred. #LI-MP2 #LI-REMOTE Basic ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Define and evolve enterprise data architecture principles, standards, and reference architectures ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll translate enterprise architecture standards into domain-aligned designs, define consistent ...

Senior Data Analyst

Indianapolis, IN ยท On-site +1

$82K - $103K/yr

... manager or as lead SME), addressing queries and serving as subject matter expert on CMS reporting ... enterprise level analytical initiatives supporting CMS reporting systems and Indiana healthcare ...

Data Architect

Indianapolis, IN ยท Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Data Governance & Metadata Management - Experience implementing enterprise data catalogs, lineage ...

Data Architect

Indianapolis, IN ยท Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Data Governance & Metadata Management - Experience implementing enterprise data catalogs, lineage ...

Data Architect

Indianapolis, IN ยท Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Data Governance & Metadata Management - Experience implementing enterprise data catalogs, lineage ...

... CDOs to guide enterprise-scale data transformations and platform decisions. You bring deep ... direct people-management responsibilities. * Stay current on platform evolution and emerging ...

Enterprise Architect (IT)

Indianapolis, IN ยท On-site +1

$66 - $85/hr

Familiarity with technology risk management, operational resilience, data privacy, vendor ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Enterprise Architect (IT)

Indianapolis, IN ยท On-site +1

$102K - $208K/yr

Familiarity with technology risk management, operational resilience, data privacy, vendor ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Enterprise Data Management information

What is the difference between Remote Enterprise Data Management vs Remote Data Analyst?

AspectRemote Enterprise Data ManagementRemote Data Analyst
Required CredentialsData management certifications, SQL, data governanceData analysis certifications, Excel, SQL, visualization tools
Work EnvironmentCross-departmental, strategic focus, data infrastructureBusiness units, reporting, data interpretation
Industry UsageIT, finance, healthcare, large enterprisesMarketing, finance, retail, various industries

Remote Enterprise Data Management involves overseeing data infrastructure, governance, and quality across an organization, focusing on strategic data assets. Remote Data Analysts primarily interpret data, create reports, and support decision-making. While both roles require data-related skills and certifications, Enterprise Data Management emphasizes data governance and infrastructure, whereas Data Analysts focus on data analysis and visualization.

How does a Remote Enterprise Data Management professional typically collaborate with cross-functional teams to ensure data consistency across the organization?

Remote Enterprise Data Management professionals often work closely with IT, business analysts, and data governance teams through virtual meetings, collaborative platforms, and shared documentation. They are responsible for establishing data standards, coordinating data integration efforts, and ensuring that data definitions and quality controls are consistent across departments. Regular communication and project management tools are essential for aligning stakeholders and resolving data discrepancies, making strong collaboration skills vital for success in this remote role.

What are the key skills and qualifications needed to thrive as a Remote Enterprise Data Management professional, and why are they important?

To thrive as a Remote Enterprise Data Management professional, you need expertise in data governance, data modeling, and database management, often supported by a degree in computer science or information systems. Familiarity with data management platforms (like Informatica, Collibra, or Talend), cloud databases (such as AWS, Azure, or Google Cloud), and relevant certifications (e.g., CDMP) is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help ensure smooth collaboration and data integrity. These competencies are vital to maintaining organizational data quality, security, and accessibility in a distributed work environment.

What is Remote Enterprise Data Management?

Remote Enterprise Data Management refers to the processes and tools used to organize, store, govern, and analyze large volumes of business data from a remote location. Professionals in this field ensure that data is accurate, secure, and accessible to authorized users, even when working from different locations. They use specialized software and cloud-based solutions to manage data assets, enforce data governance policies, and support business decision-making. The role often requires collaboration with IT, analytics, and business teams to implement best practices for data handling and compliance.
What are the most commonly searched types of Enterprise Data Management jobs in Indiana? The most popular types of Enterprise Data Management jobs in Indiana are:
What are popular job titles related to Remote Enterprise Data Management jobs in Indiana? For Remote Enterprise Data Management jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Enterprise Data Management jobs in Indiana look for? The top searched job categories for Remote Enterprise Data Management jobs in Indiana are:
What cities in Indiana are hiring for Remote Enterprise Data Management jobs? Cities in Indiana with the most Remote Enterprise Data Management job openings:
Infographic showing various Remote Enterprise Data Management job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Snowflake Architect

Snowflake Architect

Onebridge

Indianapolis, IN โ€ข On-site, Remote

$61 - $78.50/hr

Full-time

Re-posted 17 days ago


Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Architect to join our innovative and dynamic team.
Snowflake Architect | About You
As a Snowflake Architect, you are responsible for designing and guiding the implementation of modern cloud data platforms that support enterprise analytics and data-driven decision-making. You bring deep expertise in Snowflake and cloud-native architectures, along with a strong track record delivering greenfield data platforms and leading on-premises to cloud migrations. You operate comfortably at both the strategic and hands-on levels, defining architecture standards while partnering closely with engineering teams to ensure successful execution. You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and well-governed platforms from the start. You collaborate effectively with business and technical stakeholders to translate long-term data vision into practical, sustainable architectures.
Snowflake Architect | Day-to-Day
  • Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and large-scale modernization efforts.
  • Define and implement architectural patterns for on-premises to cloud migrations, including ingestion, transformation, storage, and analytics layers.
  • Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL.
  • Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.
  • Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams.
  • Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices.
  • Support analytics and reporting teams by ensuring Snowflake architectures enable self-service BI and reliable access to trusted data sources.

Snowflake Architect | Skills & Experience
  • 8+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
  • Deep, hands-on expertise with Snowflake, including architecture design, performance optimization, security models, and large-scale transformation workloads.
  • Proven experience leading greenfield data platform implementations and on-premises to cloud migrations.
  • Strong expertise in Azure, advanced SQL, and ETL/ELT architecture within enterprise data ecosystems.
  • Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices.
  • Strong understanding of analytics enablement and integration with BI platforms such as Power BI or Sigma.
  • Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not required.

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