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Data Warehouse Project Manager Jobs in Indiana (NOW HIRING)

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... Management and Strategy. Job Duties and Responsibilities: Data Integration Development and ... project scope, timelines, and resource estimates. * Gains a working knowledge of data warehouse and ...

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$113K - $136K/yr

... Management and Strategy. Job Duties and Responsibilities: Data Integration Development and ... project scope, timelines, and resource estimates. * Gains a working knowledge of data warehouse and ...

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... Management and Strategy. Job Duties and Responsibilities: Data Integration Development and ... project scope, timelines, and resource estimates. * Gains a working knowledge of data warehouse and ...

Socket.dev

Data Analyst

Indianapolis, IN · On-site

$75 - $95/hr

Support Agile and structured project management methodologies throughout the project lifecycle ... Background in ETL and data warehousing * Experience with Teradata SQL Assistant, SharePoint, and MS ...

New

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Supports data validation and maintains data quality within the data lake and data warehouse. Key Responsibilities: Data Management: Assists in developing and maintaining simple ETL processes.

Toyota

Software Project Manager

Indianapolis, IN · On-site

Experience with material handling systems and/or warehouse management systems preferred. * Must be ... Employees must follow all information security policies, protect confidential data, complete ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Supports data validation and maintains data quality within the data lake and data warehouse. Key Responsibilities: Data Management: Assists in developing and maintaining simple ETL processes.

Toyota

Project Manager, Emulation

Indianapolis, IN · On-site

Employees must follow all information security policies, protect confidential data, complete ... Toyota Automated Logistics is your global partner for integrated warehouse automation. Our team ...

CRDN of Northern Indiana

Be Seen First

Project Manager

Fort Wayne, IN · On-site

$40K - $55K/yr

... Warehouse on job progress and issues. ● Manage field supplies and inventory; coordinate with Operations Manager/Warehouse for replenishment and staging. ● Track performance and safety metrics ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

HIRING MANAGER Vice President of Information Technology RESPONSIBILITIES • Data warehouse design, maintenance, performance tuning, and optimization. • Design and manage ETL/ELT pipelines, data ...

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All JobsData Warehouse Project JobsData Warehouse Project Manager JobsData Warehouse Project Manager Jobs in Indiana

Data Warehouse Project Manager information

What is a data warehouse project manager?

Data Warehouse Project Managers are professionals responsible for overseeing the planning, execution, and delivery of data warehouse projects within an organization. They coordinate teams of data engineers, analysts, and stakeholders to ensure that data storage, integration, and reporting solutions are implemented on time and within budget. Their role involves managing project timelines, resources, risks, and communication, as well as ensuring that the data warehouse meets business requirements. They also play a crucial part in aligning technical solutions with organizational goals and regulatory standards.

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

To thrive as a Data Warehouse Project Manager, you need strong project management skills, a background in data warehousing concepts, and experience with data modeling, ETL processes, and database systems. Familiarity with tools like Microsoft Project, Jira, SQL, and data integration platforms, as well as certifications such as PMP or Agile, are typically required. Excellent communication, leadership, and problem-solving skills help facilitate collaboration among technical and business stakeholders. These abilities ensure projects are delivered on time, within scope, and aligned with organizational data strategy.

What are the main challenges faced by a data warehouse project manager when coordinating between business stakeholders and technical teams?

A significant challenge for Data Warehouse Project Managers is bridging the gap between business stakeholders, who focus on data-driven insights, and technical teams, who handle complex architectures and data integration. Ensuring clear communication around requirements, timelines, and deliverables is essential, as misalignment can lead to project delays or unmet objectives. Successful managers facilitate regular meetings, translate business needs into technical specifications, and proactively address roadblocks to keep everyone aligned throughout the project lifecycle.

What is the difference between Data Warehouse Project Manager vs Data Analyst?

AspectData Warehouse Project ManagerData Analyst
Required CredentialsBachelor's in IT, Business, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires SQL, Excel, and data visualization skills
Work EnvironmentLeads projects, manages teams, coordinates between stakeholders in data warehousing projectsAnalyzes data, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data infrastructure, IT departments, data-driven companiesCommon across industries for business insights, marketing, finance, and operations

The Data Warehouse Project Manager focuses on overseeing data warehousing projects, managing teams, and ensuring project delivery. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions. Both roles require strong analytical skills, but their responsibilities and focus differ significantly.

Is data warehouse a good career?

A Data Warehouse Project Manager plays a key role in overseeing data integration and storage projects, requiring skills in database management, SQL, and project coordination. The field offers strong job growth, competitive salaries, and opportunities to work with advanced analytics tools, making it a viable career choice for those interested in data management and technology. Continuous learning and certifications can enhance career prospects in this field.

What are popular job titles related to Data Warehouse Project Manager jobs in Indiana?

For Data Warehouse Project Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Warehouse Project Manager jobs in Indiana look for?

The top searched job categories for Data Warehouse Project Manager jobs in Indiana are:

What cities in Indiana are hiring for Data Warehouse Project Manager jobs?

Cities in Indiana with the most Data Warehouse Project Manager job openings:

Data Warehouse Project Manager jobs near you
Infographic showing various Data Warehouse Project Manager job openings in Indiana as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Enterprise Data Warehouse (EDW) ETL/Data Engineer

CSpring

Indianapolis, IN • On-site

Full-time

Re-posted 24 days ago

Job description

Description:


At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex business and technology challenges through modern data, analytics, and engineering solutions.

We are seeking a Senior Azure Data Engineer to help design, build, and support a next-generation enterprise data platform on Microsoft Azure. In this role, you will lead the development of scalable data pipelines and data products that power analytics, operational reporting, dashboards, and emerging AI/ML use cases.


You’ll work closely with data architects, analytics engineers, data scientists, platform teams, and business stakeholders to deliver secure, high-performing, and cost-effective cloud data solutions. This role is ideal for someone with deep hands-on experience in Azure data technologies, modern Lakehouse architectures, and enterprise-scale data migrations.


What You'll Do

Data Pipeline Engineering

  • Design and develop reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Databricks, and/or Microsoft Fabric Data Factory
  • Build and maintain medallion architecture (Bronze / Silver / Gold) solutions using Azure Data Lake Storage Gen2, Delta Lake, Parquet, and structured streaming patterns
  • Develop performant ELT workflows leveraging pushdown processing to platforms such as Synapse Dedicated SQL Pool, Azure SQL, and Teradata
  • Create and optimize PySpark notebooks and distributed processing jobs in Azure Databricks or Synapse Spark

Data Warehousing & Modeling

  • Design dimensional data models using Kimball star and snowflake methodologies
  • Implement data vault patterns, Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data strategies
  • Optimize distributed SQL workloads in Synapse Dedicated SQL Pool and/or Fabric Warehouse environments
  • Tune partitioning, indexing, and query performance for enterprise-scale datasets

Cloud Platform Engineering & DevOps

  • Implement CI/CD processes for data pipelines using Azure DevOps, YAML pipelines, ARM templates, Bicep, and/or Terraform
  • Build monitoring, logging, and auditing solutions using Azure Monitor, Log Analytics, and KQL
  • Support code reviews, branching strategies, release management, and engineering standards across environments
  • Participate in troubleshooting and production incident response for critical data pipelines

Migration & Modernization

  • Lead or contribute to cloud modernization initiatives, including Informatica PowerCenter to Azure Data Factory migrations
  • Support migration efforts from on-premises Teradata, Oracle, or SQL Server environments to Azure Synapse or Microsoft Fabric
  • Assist with workload assessments, capacity planning, and cloud cost optimization initiatives

Requirements:

What You Bring


Required Qualifications

  • Deep hands-on expertise with Azure Data Factory, including pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and Integration Runtime types (Azure, Self-hosted, and SSIS)
  • Strong experience with Azure Databricks and PySpark
  • Production experience with one or more of the following:
    • Azure Synapse Analytics (Dedicated SQL Pools, Serverless SQL Pools, Spark Pools)
    • Azure Databricks (Delta Lake, Unity Catalog)
    • Microsoft Fabric (Warehouse, Lakehouse, OneLake)
  • Strong understanding of Azure Data Lake Storage Gen2, including hierarchical namespace, RBAC/ACL security, lifecycle management, and governance
  • Experience with Azure Key Vault, Azure AD / Entra ID, managed identities, service principals, and private networking concepts
  • Experience monitoring and troubleshooting data solutions using Azure Monitor, Log Analytics, and KQL
  • Advanced SQL skills including window functions, CTEs, query optimization, execution plan analysis, and performance tuning
  • Strong Python skills for data engineering, including pandas, PySpark, REST API integration, and unit testing with pytest
  • Proficiency with T-SQL and familiarity with Spark SQL, KQL, PowerShell, and Bash scripting

Preferred Qualifications

  • 5+ years of enterprise data warehouse or data engineering experience
  • 5+ years of data modeling experience using ERWIN or similar modeling tools
  • 2+ years of experience with Azure Data Factory and Snowflake
  • Experience working in healthcare or Medicaid environments

Why CSpring

At CSpring, you’ll join a collaborative, mission-driven team focused on helping organizations use technology and data to improve outcomes and drive meaningful change. We value curiosity, accountability, continuous learning, and building strong partnerships with our clients and communities.If you’re passionate about modern cloud data engineering and want to work on impactful enterprise initiatives, we’d love to hear from you.Source role provided by user: ?filecite?turn0file0?L1-L46?