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Remote Data Storage Sales Jobs in Indiana (NOW HIRING)

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g ...

Westfield, IN, Remote Employment Type: Full Time We are seeking a motivated Freight Broker to join ... Accurately enter shipment data, track order progress, and provide follow-ups as necessary. Carrier ...

Westfield, IN, Remote Employment Type: Full Time We are seeking a motivated Freight Broker to join ... Accurately enter shipment data, track order progress, and provide follow-ups as necessary. Carrier ...

Westfield, IN, Remote Employment Type: Full Time We are seeking a motivated Freight Broker to join ... Accurately enter shipment data, track order progress, and provide follow-ups as necessary. Carrier ...

Westfield, IN, Remote Employment Type: Full Time We are seeking a motivated Freight Broker to join ... Accurately enter shipment data, track order progress, and provide follow-ups as necessary. Carrier ...

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Showing results 1-20

Remote Data Storage Sales information

What is the difference between Remote Data Storage Sales vs Remote Cloud Solutions Sales?

AspectRemote Data Storage SalesRemote Cloud Solutions Sales
CredentialsSales certifications, technical knowledge of storage productsSales certifications, understanding of cloud platforms and services
Work EnvironmentRemote, client-facing, technical sales rolesRemote, client-facing, consultative sales roles
Industry UsageData storage providers, hardware/software vendorsCloud service providers, SaaS companies
Search & Comparison IntentUnderstanding roles in data storage sales, career optionsComparing cloud sales roles, career growth in cloud solutions

Remote Data Storage Sales and Remote Cloud Solutions Sales share similarities in sales approach and technical knowledge but focus on different products. Data storage sales emphasize physical or software storage solutions, while cloud solutions sales focus on cloud-based services. Both roles require technical understanding and client interaction, but their target markets and product knowledge differ.

What are the key skills and qualifications needed to thrive as a Remote Data Storage Sales professional, and why are they important?

To excel in Remote Data Storage Sales, you need a solid understanding of cloud storage solutions, data management principles, and proven sales experience, often supported by a relevant degree or technical certifications. Familiarity with CRM platforms, cloud storage providers (like AWS, Azure, or Google Cloud), and sales enablement tools is typically required. Strong communication, relationship-building, and self-motivation are valuable soft skills for engaging clients and closing deals remotely. These skills ensure you can effectively understand client needs, present tailored solutions, and drive sales results in a competitive, technology-driven market.

What are some common challenges faced by Remote Data Storage Sales professionals, and how can they be addressed?

Remote Data Storage Sales professionals often face challenges such as building trust with clients remotely, staying current with rapidly evolving technology, and differentiating their solutions in a crowded marketplace. Success often depends on proactive communication, leveraging virtual demos, and maintaining strong product knowledge. Regular collaboration with technical teams and ongoing training can help address client concerns and demonstrate expertise, ultimately leading to stronger client relationships and sales outcomes.

What is a Remote Data Storage Sales job?

A Remote Data Storage Sales job involves selling cloud-based or off-site data storage solutions to businesses or individuals. Professionals in this role connect with potential clients, understand their data storage needs, and recommend appropriate products or services. They often work remotely, using digital communication tools to manage sales pipelines and close deals. Their goal is to help clients securely store, access, and manage their data while meeting sales targets and building lasting relationships.
What are the most commonly searched types of Data Storage Sales jobs in Indiana? The most popular types of Data Storage Sales jobs in Indiana are:
What are popular job titles related to Remote Data Storage Sales jobs in Indiana? For Remote Data Storage Sales jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Data Storage Sales jobs? Cities in Indiana with the most Remote Data Storage Sales job openings:
Data Architect

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Posted 8 days ago


Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 252 frontline employees who took The Breakroom Quiz

110th of 527 rated manufacturers


Job description


We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote.
In this role, you will make an impact in the following ways:
  • Design and automate scalable data ingestion and transformation pipelines across relational, event-based, and unstructured sources.
  • Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention policies.
  • Architect and guide development of reliable, efficient, and scalable ETL/ELT data pipelines with monitoring and alerting.
  • Design physical data models and optimize database structures, indexing, and relationships for performance.
  • Test, optimize, and troubleshoot data pipelines to ensure stability and performance.
  • Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g., data lakes, Hadoop, NoSQL databases).
  • Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives.

Responsibilities
To be successful in this role you will need the following:
  • Data Extraction - Build scalable, automated ETL pipelines that deliver accurate, timely data. Choose the right tools and optimize transformations for performance and usability.
  • Programming - Write clean, well-documented, and testable code using best practices. Leverage version control and automation to ensure reliability and efficiency
  • Solution Validation Testing - Follow SDLC standards to thoroughly test and validate all solutions. Ensure outputs meet business requirements and perform correctly in production.
  • Data Quality - Proactively monitor and resolve data issues. Establish strong governance practices to maintain data accuracy and trust across the organization.

Qualifications
Education/Experience:
  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
  • This position may require licensing for compliance with export controls or sanctions regulations.
  • Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
    - Familiarity analyzing complex business systems, industry requirements, and/or data regulations
    - Background in processing and managing large data sets
    - Design and development for a Big Data platform using open source and third-party tools
    - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework
    - SQL query language
    - Clustered compute cloud-based implementation experience
    - Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources
    - Experience in building analytical solutions
    Intermediate experiences in the following are preferred:
    - Experience with IoT technology
    - Experience in Agile software development
  • 6-8 years of experience required.

Additional Responsibilities:
Preferred Job Specific Skills - Data Architect
  • Dimensional Modeling Mastery - Deep expertise in designing enterprise-scale dimensional models (star, snowflake, constellation) with strong command of fact table grain definition, surrogate key strategies, slowly changing dimensions (Types 1-6), bridge tables, and late-arriving data handling.
  • Advanced SQL Engineering - Highly proficient in writing complex, high-performance SQL, including window functions, CTE-driven transformations, query plan analysis, cost-based optimization, partitioning strategies, and performance tuning across large, distributed datasets.
  • Snowflake Architecture & Engineering - Hands-on experience with Snowflake internals including micro-partitioning, clustering keys, result-set caching layers, warehouse sizing/auto-suspend tuning, Snowpipe/Streams/Tasks orchestration, Time Travel, Zero-Copy Cloning, and secure data sharing patterns.
  • Graph Database & Cypher Proficiency - Strong experience with Neo4j or equivalent graph platforms, including graph schema design, Cypher query optimization, graph algorithms (PageRank, community detection, pathfinding), and integration of graph workloads with analytical and relational systems.
  • Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake optimization, Data Engineering pipelines, Data Factory orchestration, KQL-based Real-Time Analytics, semantic model creation, and integration with Power BI and OneLake governance.
  • SAP S/4HANA Data Structures -Familiarity of SAP S/4HANA data models (FI/CO, MM, SD, PP), CDS views, OData services, SLT/SDI/ODP-based extraction patterns, and harmonization of SAP transactional data into cloud-based analytical platforms.
  • Cloud Data Architecture - Strong understanding of distributed data processing, ELT/ETL orchestration, event-driven ingestion (Kafka/Event Hub), metadata-driven frameworks, schema evolution, and data lifecycle management across cloud environments (Azure preferred).
  • Data Governance & Metadata Management - Experience implementing enterprise data catalogs, lineage tracking, data quality rules, master data integration, and security models (RBAC/ABAC, row-level and column-level security).
  • Performance Engineering & Optimization - Ability to diagnose bottlenecks across compute, storage, and network layers; optimize workloads for cost and performance; and design scalable, fault-tolerant data architectures.
  • Cross-Platform Integration - Experience integrating heterogeneous systems (SAP, Snowflake, Fabric, graph DBs, APIs, streaming platforms) into unified analytical ecosystems with strong focus on interoperability and data consistency.

Compensation:
Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate's qualifications and experience, where appropriate.
Premium Range:
Minimum: $123,030
Maximum: $150,370
About Us
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919