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Remote Customer Data Platform Jobs in Indiana (NOW HIRING)

Excellent communication skills, with the ability to collaborate across multiple remote teams, share ... Data platforms integrated with downstream consumers, tools, and services * Data quality, validation ...

Excellent communication skills, with the ability to collaborate across multiple remote teams, share ... Data platforms integrated with downstream consumers, tools, and services * Data quality, validation ...

Excellent communication skills, with the ability to collaborate across multiple remote teams, share ... Data platforms integrated with downstream consumers, tools, and services * Data quality, validation ...

Excellent communication skills, with the ability to collaborate across multiple remote teams, share ... Data platforms integrated with downstream consumers, tools, and services * Data quality, validation ...

Director, Platform Architecture Reports to ... Chief Digital & Data Officer Location: United States (Remote) Interested applicants must reside in ...

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ...

New

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

United States (Remote) Interested applicants must reside in one of the following approved states ... Experience with metadata management, data cataloging, and lineage concepts and platforms

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Remote Customer Data Platform information

What is the difference between Remote Customer Data Platform vs Remote Data Analyst?

AspectRemote Customer Data PlatformRemote Data Analyst
Required CredentialsData management certifications, knowledge of CDP toolsStatistics, data analysis certifications, SQL, Excel
Work EnvironmentCollaborates with marketing, sales, IT teamsWorks with datasets, reports, dashboards
Employer & Industry UsageMarketing, e-commerce, SaaS companiesFinance, healthcare, retail sectors

The main difference is that a Remote Customer Data Platform specializes in managing and integrating customer data across platforms, focusing on marketing and customer insights. In contrast, a Remote Data Analyst interprets data to support business decisions across various departments. Both roles require analytical skills, but their focus and tools differ, making them distinct career paths within data-driven industries.

What job categories do people searching Remote Customer Data Platform jobs in Indiana look for?

The top searched job categories for Remote Customer Data Platform jobs in Indiana are:

$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.