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Remote Enterprise Data Management Jobs in Indiana

... management - enabling enterprises to unify data, break down silos, and act on real-time insights ... Enterprise Software Sales Experience: With 4-8 years of experience in enterprise software sales ...

... management - enabling enterprises to unify data, break down silos, and act on real-time insights ... Enterprise architecture: * Analyze and translate business information and technical requirements ...

Remote - US Interested applicants must reside in one of the following approved states: Arizona ... Partner with People Success team to ensure data accuracy for client groups. Team Management * Act ...

$39.75 - $54.75/hr

Maintain a standardized approach to key responsibilities in alignment with enterprise best ... data streams. * With some leadership support, manage the requirements throughout the project ...

... long-term enterprise strategy. Purpose: Use data and statistical analysis to drive business ... Manage filing schedules for aligned products. * Prepare and complete predictive analytics analysis ...

... long-term enterprise strategy. Purpose: Use data and statistical analysis to drive business ... Manage filing schedules for aligned products. * Prepare and complete predictive analytics analysis ...

Requirements: 3-5 years work experience in a Credit/Data management role in a fast-paced ... Ability to run and command remote meetings with sales and local finance to review accounts ...

... Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Showing results 41-60

Remote Enterprise Data Management information

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 key skills and qualifications needed to thrive as a remote enterprise data management professional?

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.

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 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.

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$95K - $105K/yr

Full-time

Posted 27 days ago


Job description

Job Title:

Data Platform Engineer

Number of Positions:

1

Location:

Indianapolis, IN

Location Specifics:

Fully Remote

Job Summary:

Renaissance Benefits is hiring an experienced Data Platform Engineer to join our growing team!

The Data Platform Engineer helps scale Renaissance's data platform and integrate it across the organization. This role designs and builds the integration layer connecting the Microsoft Fabric-based data platform with the broader Azure ecosystem and API infrastructure. The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform capabilities reliably and independently.

What will this role entail?

  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services, including Azure API Management, Azure Data Factory, Event Hubs, and Azure Databricks.

  • Define data contracts, API standards, and integration patterns that enable partner development teams to self-serve against the platform.

  • Establish scalable platform architecture that can be extended as organizational needs evolve.

  • Partner with the AI Manager to ensure the data platform supports current and future AI and machine learning initiatives.

  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related data platform tooling.

  • Implement data quality, governance, and lineage practices across the platform.

  • Drive platform reliability and performance by proactively identifying and resolving bottlenecks.

  • Evaluate and recommend tools, technologies, and process improvements that advance the data platform roadmap.

  • Perform other related duties as assigned.

Minimum Requirements:

  • Bachelor's degree in a related field preferred.
  • 5+ years of experience in data engineering, platform engineering, or a related technical role.
  • Experience with Microsoft Azure data services and integration tools.
  • Ability to design scalable data platforms, pipelines, integrations, and data models.
  • Strong communication skills with the ability to work across technical and business teams.
  • Self-starter with strong problem-solving skills and sound judgment.
Technical Qualifications
  • Experience with Microsoft Fabric, including OneLake, pipelines, and Lakehouse capabilities.
  • Familiarity with AI/ML data patterns and model pipeline support.
  • Experience with infrastructure-as-code tools such as Terraform or Bicep preferred.
  • Knowledge of API design, integration patterns, and platform enablement.
  • Interest in learning new tools and applying automation or AI-enabled solutions responsibly.

Base Salary Range: $95,000-105,000

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.