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Big Data Manager Jobs in Indiana (NOW HIRING)

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Query and manage geospatial datasets using PostgreSQL with PostGIS * Work with geospatial data ... Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have) * Knowledge ...

New

Utilizing big data tools and technologies such as AWS or Azure; and Conducting data quality management and spotting and eliminating inaccuracies in data. Your Background * Requires a Bachelor's in ...

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Big Data Manager information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do big data manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for big data 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 are some common challenges Big Data Managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

Will AI replace big data?

As a Big Data Manager, it is important to understand that AI tools enhance data analysis and automation but do not fully replace the need for skilled professionals to interpret complex data sets, design data architectures, and ensure data quality. AI can automate routine tasks, allowing managers to focus on strategic insights and decision-making. Human expertise remains essential for managing data governance, ethical considerations, and integrating AI into broader data strategies.

What are the key skills and qualifications needed to thrive as a Big Data Manager, and why are they important?

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What is a Big Data Manager?

A Big Data Manager is a professional responsible for overseeing the collection, storage, analysis, and use of large and complex data sets within an organization. They manage teams of data engineers, analysts, and scientists to ensure data is processed efficiently and securely. Big Data Managers also develop strategies to leverage data for business insights, make technology decisions, and ensure compliance with data governance policies. Their role bridges the gap between business objectives and technical solutions in the realm of big data.

Is 40 too late for data science?

For a Big Data Manager or data science professional, starting a career at 40 is not too late. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through certifications or online courses. Experience, continuous learning, and adaptability are key factors in entering and advancing in data science at any age.

Is big data a good career?

Big Data Managers play a key role in overseeing data collection, storage, and analysis using tools like Hadoop and Spark. The field offers high demand, competitive salaries, and opportunities for advancement, especially for those with strong technical skills and certifications. It is considered a promising career path for individuals interested in data-driven decision making.

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

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

What is the salary of a data manager?

The salary of a Big Data Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Professionals with expertise in data architecture, cloud platforms, and data governance tend to earn higher salaries.
What job categories do people searching Big Data Manager jobs in Indiana look for? The top searched job categories for Big Data Manager jobs in Indiana are:
What cities in Indiana are hiring for Big Data Manager jobs? Cities in Indiana with the most Big Data Manager job openings:
Urgent Need ETL Informatica Developer Cloud IPaaS experience

Urgent Need ETL Informatica Developer Cloud IPaaS experience

USM

Indianapolis, IN

Contractor

Posted 6 days ago


Job description

Company Description

Businesses face challenges every day building responsive and agile IT capabilities to grow and stay ahead. Since everyone has access to the same tools, your competitive advantage directly depends on how you apply technology - on the people leading, supporting and optimizing your IT initiatives. USM Business Systems, established in 1999, is an industry-leading private talent management firm, specializing in providing unique IT turnkey solutions, IT staffing solutions, and Talent management insights, enabling you to sustain a truly competitive advantage in this fast-moving environment. USM has offices throughout the US and offshore delivery centers in India. USM is a certified Minority Business Enterprise and is a CMMi Level 3 Organization.

USM is recognized as one of the fastest growing IT Temporary Staffing firms in the US and most recently was ranked #3 on the list of the Top Temporary Staffing firms in the DC Metro Area - Washington Business Journal (2016).

Job Description


Green Card and Citizens Only

Role: ETL Informatica Developer Cloud IPaaS experience

Location: Indianapolis, IN

Duration: 6+Months

Requirements:

Minimum of 7 years of experience in Data warehousing projects using Informatica ETL tool

Strong experience in Informatica ETL, strong DWH concepts.

Designing and developing Informatica ETL mappings, in line with current IT development standards

Hands on experience in ETL code development using Informatica version 9x

Should have expertise in extracting data from different source systems like flat files, XML sources, Big data appliances, RDBMS, etc.,

Should be proficient using Power Center 8.x and Informatica Data Quality 9.x

Data integration with web services, XML, PowerCenter web services consumer transformation and Java transformation.

Demonstrated strong prototyping, coding and debugging skills

Cloud IPaaS experience strongly preferred

Additional Information

If you are interested in the below position please forward your profile to alih@usmsystems(dot)com or call me on 703 955-39*55