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Senior Data Manager Jobs in Nevada (NOW HIRING)

Senior Data Center Mechanical Engineer

Las Vegas, NV ยท On-site

$101K - $138K/yr

Senior Data Center Mechanical Engineer As a Senior Data Center Mechanical Engineerat Switch, you ... managing utility resourcing, capacity management, change management, efficiency, root cause ...

Senior Data Center Mechanical Engineer

Las Vegas, NV ยท On-site

$101K - $138K/yr

Senior Data Center Mechanical Engineer As a Senior Data Center Mechanical Engineer at Switch, you ... managing utility resourcing, capacity management, change management, efficiency, root cause ...

Senior Data Center Mechanical Engineer

Las Vegas, NV ยท On-site

$101K - $138K/yr

Senior Data Center Mechanical Engineer As a Senior Data Center Mechanical Engineer at Switch, you ... managing utility resourcing, capacity management, change management, efficiency, root cause ...

Senior Data Center Mechanical Engineer

Reno, NV ยท On-site

$105K - $143K/yr

Senior Data Center Mechanical Engineer As a Senior Data Center Mechanical Engineer at Switch, you ... managing utility resourcing, capacity management, change management, efficiency, root cause ...

Senior Data Center Operations Engineer

Reno, NV ยท On-site

$105K - $143K/yr

Role Overview We're seeking a Senior Engineer, Data Center Operations to lead site-level operations ... Manage and resolve escalations during incidents; act as decision-maker in high-pressure situations.

Role Overview We're seeking a Senior Engineer, Data Center Operations to lead site-level operations ... Manage and resolve escalations during incidents; act as decision-maker in high-pressure situations.

Showing results 21-40

Senior Data Manager information

See Nevada salary details

$80.4K

$125.3K

$187.9K

How much do senior data manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior data manager in Nevada is $125,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $140,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior data manager, and why are they important?

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

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

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.

What are the most commonly searched types of Senior Data jobs in Nevada?

The most popular types of Senior Data jobs in Nevada are:

What cities in Nevada are hiring for Senior Data Manager jobs?

Cities in Nevada with the most Senior Data Manager job openings:

Infographic showing various Senior Data Manager job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,308 per year, or $60.2 per hour.

BFSI Toad Data Modeler - Big Data, Data Vault 2.0 & Cloud Data Warehouse

MDAEdge

Las Vegas, NV โ€ข On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
MDAEdge is seeking a highly experienced and motivated Senior Data Modeler from the Financial Services Domain with over 7 years of expertise in data modeling and data analysis. The ideal candidate should possess strong communication and leadership skills, and will lead complex data modeling initiatives across both on-premises and cloud environments.
Responsibilities:
โ€ข Lead and contribute to complex data modeling initiatives (100+ entities/tables) across both on-premises and cloud environments.
โ€ข Design and develop data models using Data Vault 2.0, star, and snowflake schemas for cloud platforms and big data ecosystems.
โ€ข Collaborate with cross-functional teams including product managers, developers, DBAs, business stakeholders, and data governance teams to gather requirements and deliver scalable solutions.
โ€ข Implement data warehouse design methodologies including Bill Inmon and Ralph Kimball approaches.
โ€ข Analyze and model data from various big data sources and tools such as Hive, S3, Trino, and HUE.
โ€ข Utilize data modeling tools like Erwin, ER/Studio, or Toad Data Modeler to design normalized, denormalized, relational, and dimensional models.
โ€ข Apply best practices in Data Warehousing, Data Profiling, Data Quality, Master Data Management (MDM), Data Lineage, Data Mapping, Data Dictionary, and Data Governance.
โ€ข Provide thought leadership in emerging architecture patterns such as Data Lakehouse.
Qualifications:
Required:
โ€ข 7+ years of experience in data modeling and data analysis.
โ€ข 4โ€“7 years of hands-on experience with Big Data and Hadoop ecosystems.
โ€ข Strong expertise in cloud data warehouse platforms, especially Snowflake.
โ€ข Proven experience in Data Vault 2.0 modeling methodology.
โ€ข Solid knowledge of big data tools and platforms (e.g., Hive, S3, Trino).
โ€ข Deep understanding of both on-prem and cloud-based data architectures.
โ€ข Extensive experience with relational databases such as Oracle, SQL Server, DB2, and Redshift.
โ€ข Excellent collaboration and communication skills; experience working in cross-functional and agile environments.
Preferred:
โ€ข Experience in the Financial Services domain.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.