IT Manager - Data & Analytics

Linde Corporation

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in computer science, engineering, information systems, or a related field.
  • Several years of experience in data engineering or data architecture.
  • Strong expertise in Apache Spark and modern data platforms like Microsoft Fabric.
  • Highly skilled in SQL, Python or Scala with hands-on experience in data pipeline optimization.
  • Experience with cloud platforms, particularly Microsoft Azure, and understanding of distributed systems.
  • Solid grasp of data governance and data quality practices.
  • Strong problem-solving skills and attention to detail.

Responsibilities

  • Design and build scalable data pipelines for transforming complex data into insights.
  • Integrate diverse data sources to ensure accuracy and consistency.
  • Deliver impactful dashboards and reporting solutions for business teams.
  • Optimize data processes for performance and drive efficiency.
  • Champion data quality and governance standards for reliability and compliance.
  • Collaborate with stakeholders to translate business needs into data solutions.
  • Enhance the data platform continuously through innovation.

Benefits

  • Access to health, dental, disability, and life insurance.
  • Paid holidays and vacation.
  • 401(k) matching and pension benefits.
  • Employee discount program.
  • Opportunities for educational and professional growth.
Full Job Description
IT Manager - Data & Analytics

Indianapolis, IN, United States | req29382

What you will enjoy doing*

  • In this role you will design and build scalable data pipelines that transform complex data into powerful insights using modern technologies
  • You will integrate diverse data sources with precision to ensure accuracy, consistency, and trusted data across the entire lifecycle
  • Further, deliver impactful dashboards and reporting solutions that empower business teams to make confident decisions
  • You will optimize data processes for performance and scalability while proactively driving efficiency and innovation
  • Moreover, you will champion data quality and governance standards to ensure reliability, compliance, and transparency
  • In addition, you will collaborate closely with stakeholders to translate business needs into robust data solutions and continuously enhance the data platform


What makes you great

  • You hold a degree in computer science, engineering, information systems, or a related field and bring several years of experience in data engineering or data architecture
  • Demonstrated strong expertise in Apache Spark and modern data platforms such as Microsoft Fabric for large scale data processing
  • You are highly skilled in structured query language, Python or Scala and have hands on experience building and optimizing data pipelines
  • Proven experience working with cloud platforms, ideally Microsoft Azure, along with a solid understanding of distributed systems and data modeling
  • You apply strong problem solving skills, attention to detail and a clear understanding of data governance and data quality practices
  • You collaborate effectively with teams, communicate clearly, and contribute to reporting, data integration, and continuous improvement initiatives


What we offer you!

Linde offers competitive compensation and an outstanding benefits package. Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) matching, pension benefits, an employee discount program, and opportunities for educational and professional growth. Additional compensation may vary depending on the position and organizational level. Build your future with us while making an impact every day!

Have we inspired you? Let's talk about it

We are looking forward to receiving your complete application.

*The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.

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