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Data Services Manager Jobs in Indiana (NOW HIRING)

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Hands-on experience with SAP Data Services (BODS) and SAP S/4HANA integrations * Experience with enterprise SaaS platforms such as Veeva CRM, Veeva Vault, Salesforce, or similar solutions

Data Architect

Zionsville, IN

$61.75 - $79.50/hr

Hands-on experience with SAP Data Services (BODS) and SAP S/4HANA integrations * Experience with enterprise SaaS platforms such as Veeva CRM, Veeva Vault, Salesforce, or similar solutions

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Enhance skills and knowledge around data management platforms and tools: * AWS (EC2, S3, Glue ... Deep expertise in AWS Lambda and other cloud-based data services. * Strong understanding of data ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Enhance skills and knowledge around data management platforms and tools: * AWS (EC2, S3, Glue ... Deep expertise in AWS Lambda and other cloud-based data services. * Strong understanding of data ...

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Design, build, and maintain data platforms, pipelines, and services that support research ... Ensure appropriate handling of sensitive data through de-identification, access management, and ...

Showing results 41-60

Data Services Manager information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do data services manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data services manager in Indiana is $92,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a data services manager?

A Data Services Manager is a professional responsible for overseeing the collection, management, and utilization of data within an organization. They lead teams that develop and maintain data systems, ensure data quality and security, and facilitate data-driven decision-making. Their role often involves collaborating with IT, analytics, and business departments to ensure that data services align with organizational goals. Data Services Managers also establish data policies and best practices, manage data integration projects, and support business intelligence initiatives.

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

To thrive as a Data Services Manager, you need strong expertise in data management, analytics, and database administration, typically supported by a degree in information technology or a related field. Familiarity with data warehouse platforms, SQL, cloud services (such as AWS or Azure), and certifications like CDMP or PMP are often required. Leadership, problem-solving, and effective communication are crucial soft skills for managing teams and translating business needs into data solutions. These competencies ensure data integrity, drive informed decision-making, and support organizational goals through efficient data practices.

What are some common challenges a data services manager faces when overseeing cross-departmental data initiatives?

A Data Services Manager often encounters challenges related to aligning various departments’ data needs and priorities. Coordinating data governance, standardization, and quality control across teams can be complex, as each department may use different systems and terminology. Effective communication and stakeholder management are crucial for ensuring smooth data integration and adoption of best practices. Additionally, balancing ongoing support for current data services while implementing new projects requires strong organizational and time management skills.

What is the difference between Data Services Manager vs Data Analyst?

AspectData Services ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often managerial certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentLeads data teams, manages data infrastructure, collaborates with IT and business unitsAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across industries for data reporting and insights

The Data Services Manager oversees data infrastructure and team management, focusing on data strategy and operations. In contrast, Data Analysts primarily interpret data, generate reports, and support business decisions. Both roles require strong analytical skills, but the manager role involves leadership and technical oversight, while the analyst role emphasizes data interpretation and reporting.

What are the most commonly searched types of Data Services jobs in Indiana? The most popular types of Data Services jobs in Indiana are:
What are popular job titles related to Data Services Manager jobs in Indiana? For Data Services Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Services Manager jobs in Indiana look for? The top searched job categories for Data Services Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Services Manager jobs? Cities in Indiana with the most Data Services Manager job openings:
Infographic showing various Data Services Manager job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.

$95K - $105K/yr

Full-time

Posted 17 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.