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Remote Enterprise Vault Jobs (NOW HIRING)

TEKsystems

Sr Powerplatform Developer

Frankfort, KY · Remote

$45/hr

Implement secure cloud solutions using Azure Key Vault, Managed Identities, and Microsoft Entra ID ... Enterprise reporting using Power BI Premium. Experience with workflow/business process automation ...

LATG

Senior Platform Engineer

Stafford, VA · Remote

$104K - $143K/yr

LATG is seeking an experienced Senior Platform Engineer to support enterprise Azure cloud ... Vault integrations * Troubleshoot and resolve issues related to Azure services, DevSecOps tools, CI ...

Govcio LLC

Azure DevOps Engineer / Terraform (Remote)

$175K - $195K/yr

... Vault, Virtual Networks) and proficiency in managing infrastructure state via Terraform Cloud or ... Experience supporting user onboarding workflows, service intake processes, or enterprise access ...

Exavalu

Solartis Architect

$64.50 - $85/hr

This is a remote position. Overview : Job Title: Solartis Architect -(Commercial P&C Insurance ... Knowledge of BPMN 2.0, jBPM , and enterprise integration patterns. * Proficiency with AI coding ...

Trilyon, Inc.

AI Architect - Remote

Boise, ID · Remote

... integrations, and enterprise AI architecture, along with a passion for building intelligent ... Working knowledge of Azure security including managed identities, Key Vault, and role-based access.

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Remote Enterprise Vault information

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$31K

$141.1K

$200.5K

How much do remote enterprise vault jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote enterprise vault in the United States is $141,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $191,000.00 per year, depending on experience, location, and employer.

What is a Remote Enterprise Vault specialist?

A Remote Enterprise Vault specialist is a professional who manages and supports Enterprise Vault, a data archiving and e-discovery solution, while working remotely. Their responsibilities typically include configuring, maintaining, and troubleshooting the Enterprise Vault environment to ensure secure email and file archiving. They may also assist with data retention policies, compliance, and user access issues. Working remotely, they use remote access tools to monitor systems, resolve incidents, and collaborate with teams across different locations. Strong knowledge of Enterprise Vault, Microsoft Exchange, and data compliance regulations is essential for this role.

What are the key skills and qualifications needed to thrive as a Remote Enterprise Vault administrator?

To excel as a Remote Enterprise Vault Administrator, you need expertise in enterprise data archiving, email management, and a solid understanding of server and storage infrastructure, typically backed by relevant IT degrees or certifications. Familiarity with Veritas Enterprise Vault, Microsoft Exchange, Windows Server, and backup/recovery tools is crucial. Excellent problem-solving skills, attention to detail, and effective communication are valuable soft skills for this role. These competencies are vital for ensuring secure, efficient data retention, compliance, and smooth operation of enterprise archiving environments.

What are some common challenges faced by professionals working in Remote Enterprise Vault administration, and how can they be effectively managed?

Remote Enterprise Vault administrators often face challenges such as ensuring seamless data archiving and retrieval across distributed networks, maintaining security compliance, and troubleshooting connectivity issues. Working remotely can also make it harder to collaborate with onsite IT teams or quickly access physical infrastructure when needed. Effective management of these challenges involves leveraging strong documentation, using secure remote access tools, staying up to date with compliance requirements, and maintaining clear communication channels with other team members. Regular training and proactive monitoring can also help address issues before they impact business operations.

What is the difference between Remote Enterprise Vault vs Remote Data Backup Specialist?

AspectRemote Enterprise VaultRemote Data Backup Specialist
CredentialsEnterprise Vault certification, IT security certificationsData backup certifications, IT certifications
Work EnvironmentIT departments, enterprise data managementData centers, IT support teams
Industry UsageLarge corporations, enterprise data archivingIT service providers, data recovery firms

Remote Enterprise Vault focuses on enterprise data archiving and management using specialized software, while Remote Data Backup Specialists handle data backup and recovery processes. Both roles require IT certifications and work in similar environments, but their core responsibilities differ in scope and focus.

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What cities are hiring for Remote Enterprise Vault jobs?

Cities with the most Remote Enterprise Vault job openings:

What are the most commonly searched types of Enterprise Vault jobs?

The most popular types of Enterprise Vault jobs are:

What states have the most Remote Enterprise Vault jobs?

States with the most job openings for Remote Enterprise Vault jobs include:

What job categories do people searching Remote Enterprise Vault jobs look for?

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Remote Enterprise Vault jobs near you
Infographic showing various Remote Enterprise Vault job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $141,143 per year, or $67.9 per hour.

SR Azure Data Factory- Remote

Cognizant Technology Solutions

Washington, DC • On-site, Remote

$72 - $93.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

53rd of 72 rated business consultants

Job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
This role does not support visa-dependent candidates, either now or in the foreseeable future.
Full time
Hybrid
Washington, DC
Azure Data Engineer / Azure Data Architect
Job Description
Location: Hybrid / Remote
Experience: 8+ Years
Employment Type: Full-Time
Position Overview
We are seeking an experienced Azure Data Engineer / Data Architect with strong expertise in designing, building, and optimizing enterprise-scale data platforms within the Microsoft Azure ecosystem. The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake, SQL, Data Warehousing, and Modern Data Architecture patterns.
This role requires a combination of deep technical expertise, architectural leadership, and hands-on development capabilities to design scalable, governed, and high-performing data solutions supporting analytics, reporting, AI/ML, and business operations.
Key Responsibilities
Data Architecture & Platform Design
  • Design and develop scalable, secure, and reusable enterprise data architectures using Azure cloud technologies.
  • Define technical architecture standards, design patterns, and best practices for enterprise data platforms.
  • Build scalable Lakehouse architectures utilizing Azure Data Lake Storage and Azure Databricks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold Layers) for modern analytics platforms.
  • Create high-level solution designs, data models, architecture diagrams, and technical documentation.
  • Lead architecture reviews and provide technical governance across multiple projects.

Azure Databricks Development (Must Have)
Architecture & Administration
  • Design and manage Azure Databricks environments, clusters, compute resources, and workspaces.
  • Develop and maintain enterprise-scale Lakehouse solutions.
  • Implement Delta Lake architecture and optimize Delta Table performance.
  • Utilize Databricks Unity Catalog for enterprise-wide data governance and metadata management.
  • Configure and manage security, access controls, and data lineage capabilities.

Data Engineering
  • Develop PySpark-based ETL/ELT pipelines for large-scale structured and semi-structured datasets.
  • Read, transform, validate, and write data using Spark DataFrames and Delta Tables.
  • Implement data quality, audit, and reconciliation frameworks using SQL and PySpark.
  • Apply Databricks performance tuning and optimization techniques including:
    • Partitioning
    • Z-Ordering
    • Data Skipping
    • Caching
    • Auto Optimize
    • VACUUM & OPTIMIZE commands

Emerging Technologies
  • Stay current with Databricks innovations including:
    • Lakehouse Architecture
    • Lakeflow
    • Delta Live Tables
    • Unity Catalog
    • Databricks Genie
  • Exposure to AI/ML workloads and LLM-based implementations within Databricks environments is highly desirable.

Azure Data Factory (ADF)
  • Design and implement enterprise-grade ADF pipelines and orchestration frameworks.
  • Develop dynamic and metadata-driven data ingestion pipelines.
  • Build solutions to migrate data from on-premise applications and databases to Azure platforms.
  • Implement failure handling, monitoring, alerting, and notification frameworks.
  • Create parameterized reusable pipeline templates.
  • Develop scheduling, dependency management, and workflow orchestration mechanisms.
  • Implement Slowly Changing Dimension (SCD) Type 2 solutions using ADF, SQL, and Azure Databricks.

SQL & Data Processing
  • Design and optimize complex SQL solutions supporting enterprise reporting and analytics.
  • Utilize advanced SQL analytical functions and windowing functions.
  • Implement and optimize joins, aggregations, subqueries, Common Table Expressions (CTEs), and Self Joins.
  • Perform SQL performance tuning, indexing, query optimization, and execution plan analysis.
  • Develop reusable stored procedures, views, and database objects supporting enterprise applications.

Data Warehousing & Modeling
  • Design enterprise data warehouse solutions using industry-standard modeling techniques.
  • Develop:
    • Fact Tables
    • Dimension Tables
    • Slowly Changing Dimensions (Type 1, 2, and 3)
    • Aggregate Structures
  • Implement and maintain:
    • Star Schema
    • Snowflake Schema
    • Data Vault Models
    • Dimensional Models
  • Understand and apply normalization and denormalization strategies for OLTP and OLAP environments.

Governance & Best Practices
  • Establish and enforce enterprise data engineering standards and best practices.
  • Define governance models for data quality, metadata, lineage, and security.
  • Implement monitoring, auditing, and operational controls across the data platform.
  • Collaborate with security and governance teams to ensure compliance with enterprise standards.
  • Drive adoption of automated testing, CI/CD pipelines, and release automation for data platforms.

Stakeholder Engagement
  • Collaborate with business stakeholders, enterprise architects, project managers, and development teams.
  • Provide architecture guidance, technical leadership, and solution recommendations.
  • Evaluate emerging technologies and provide strategic recommendations for platform modernization.
  • Lead technical workshops, architecture reviews, and design discussions.

Required Qualifications
Education
  • Bachelor's or Master's Degree in:
    • Computer Science
    • Information Systems
    • Engineering
    • Related Technical Discipline

Experience
  • 8+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Warehousing.
  • Proven experience designing and implementing Azure-based enterprise data platforms.
  • Strong understanding of large-scale data processing and cloud-native architectures.

Required Technical Skills
Azure Technologies
  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage Gen2 (ADLS)
  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Functions
  • Azure Logic Apps

Data Engineering
  • PySpark
  • Spark SQL
  • Delta Lake
  • Unity Catalog
  • Delta Live Tables
  • ETL/ELT Design Patterns
  • Data Quality Frameworks

Database Technologies
  • SQL Server
  • Oracle
  • PostgreSQL

Programming
  • Python
  • SQL
  • PySpark

Data Warehousing
  • Dimensional Modeling
  • Star Schema
  • Snowflake Schema
  • Data Vault
  • Medallion Architecture
  • SCD Type 1/2/3

DevOps & Automation
  • Azure DevOps
  • CI/CD Pipelines
  • ARM Templates
  • PowerShell
  • Azure Automation
  • AZ Copy

Application Accepted: 8/20/2026
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
#LI-AV1#CB#Ind123
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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