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Data Delivery Jobs (NOW HIRING)

Galax-Esystems Corp

Data Delivery Leader

Plano, TX · Hybrid

Data Delivery Consultant Location: Plano TX ( Hybrid) Visa: USC Job Summary: We are seeking a highly motivated and experienced Data Delivery Leader to manage and drive the successful delivery of data ...

StackAdapt

$98.30K - $118K/yr

About the team The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance. We process, organize, and serve large volumes of campaign ...

Wellbe Senior Medical

Job Summary Manager of Data Delivery and Governance will lead our data systems integration delivery and governance team by supporting critical healthcare payer integrations and enterprise data ...

HSBC Global Services Limited

VP - Data Delivery Lead (f/m/d) At HSBC, our purpose is opening up a world of opportunity and by joining our team, you can be part of something bigger! We are committed to removing barriers and ...

Avani Technology Solutions, Inc.

Data Engineer

Richmond, VA · On-site

$113.60K - $136.40K/yr

Build data pipeline frameworks to automate high-volume and real-time data delivery to our cloud platform * Build the infrastructure required for optimal extraction, transformation, and loading of ...

MethodHub

$56.75 - $73.25/hr

Architects take end-to-end solution delivery ownership from idea to benefits delivery.

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How much do data delivery jobs pay per year?

As of May 29, 2026, the average yearly pay for data delivery in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Data Delivery, and why are they important?

To thrive in Data Delivery, you need a solid background in data analysis, data management, and project coordination, often supported by a degree in computer science, information systems, or a related field. Familiarity with data warehousing tools, ETL processes, SQL, and platforms like AWS or Azure is typically required, along with data governance certifications being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure accurate, timely delivery of data solutions. These skills are essential to manage complex data pipelines, drive data-driven decision-making, and support organizational goals.

What are some common challenges faced in a Data Delivery role, and how can they be addressed?

Professionals in Data Delivery often encounter challenges like managing data quality, ensuring timely delivery of datasets, and coordinating requirements across multiple stakeholders. It can be demanding to balance accuracy with speed, especially when handling large volumes of data from various sources. Open communication with data engineers, analysts, and business users, along with robust data validation processes, helps address these issues. Leveraging automated tools for data integration and monitoring can also significantly streamline workflows and reduce errors.

What is Data Delivery?

Data Delivery refers to the process of transporting data from one system, application, or environment to another in a reliable, secure, and timely manner. Professionals in data delivery ensure that relevant data reaches end-users or systems as needed, often using tools and protocols designed for data integration, migration, and distribution. This role is crucial in organizations that rely on data for decision-making, analytics, or operational processes. Effective data delivery helps maintain data accuracy, consistency, and availability across platforms.

What is the difference between Data Delivery vs Data Analyst?

AspectData DeliveryData Analyst
Required CredentialsTypically requires technical skills, certifications in data management or related fieldsRequires analytical skills, often a degree in statistics, mathematics, or related fields
Work EnvironmentOften involves collaboration with IT teams, data engineers, and project managersWorks closely with business units, creating reports and insights from data
Employer & Industry UsageCommon in tech, logistics, and data-driven industriesWidely used across finance, marketing, healthcare, and consulting

While Data Delivery focuses on the technical aspects of transferring and managing data, Data Analysts interpret and analyze data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

More about Data Delivery jobs
What job categories do people searching Data Delivery jobs look for? The top searched job categories for Data Delivery jobs are:
Data Delivery jobs near you

Data Delivery Leader

Galax-Esystems Corp

Plano, TX • Hybrid

Other

Posted 7 days ago

Job description

 Role: Data Delivery Consultant 

Location: Plano TX (Hybrid)

Visa: USC 

Job Summary:

We are seeking a highly motivated and experienced Data Delivery Leader to manage and drive the successful delivery of data products and solutions within our modern enterprise data engineering group. This individual will lead a team of data engineers and collaborate closely with business stakeholders, product owners, and technical teams to ensure seamless data delivery that meets business needs.

This is a hands-on leadership role requiring deep technical knowledge in modern data platforms (preferably Azure and Snowflake), excellent communication skills, and a passion for delivering high-quality, scalable data solutions in an Agile environment.

 Leadership & Team Management:

    • Lead, mentor, and manage a team of data engineers responsible for building, testing, and deploying data pipelines and solutions.
    • Promote a culture of accountability, continuous improvement, and innovation.
    • Coach team members on best practices in data engineering and Agile delivery.
  • Delivery Management:
    • Own end-to-end delivery of data products, ensuring on-time, within-scope, and high-quality deliverables.
    • Collaborate with business and product stakeholders to define requirements, prioritize work, and align delivery with strategic goals.
    • Monitor team velocity, manage risks, and proactively resolve blockers.
  • Stakeholder & Business Interface:
    • Serve as the primary point of contact for internal clients and business partners regarding data engineering initiatives.
    • Translate business needs into technical requirements and ensure clear, consistent communication throughout the project lifecycle.
  • Technical Oversight & Hands-on Involvement:
    • Provide technical guidance on the design and implementation of data pipelines and architectures.
    • Be comfortable jumping into hands-on development when needed to unblock issues or guide the team.
  • Agile & Process Excellence:
    • Champion Agile methodologies and contribute to the continuous refinement of delivery processes.
    • Facilitate sprint planning, stand-ups, retrospectives, and demos as needed.

Required Qualifications:

  • 12+ years of experience in Data Engineering, with at least 3 years in a leadership or delivery management role.
  • Proven experience leading delivery of enterprise-grade data solutions in Agile environments.
  • Strong communication and stakeholder management skills.
  • Demonstrated ability to work cross-functionally with business, technical, and executive stakeholders.

Technical Skills:

  • Must-Have:
    • Hands-on experience with Azure Data Factory and/or SSIS.
    • Proficient in data pipeline orchestration, ETL/ELT concepts, and performance tuning.
    • Strong SQL skills and familiarity with data modeling.
    • Familiarity with Azure Data Lake, Azure Synapse, or other modern data warehousing tools.
    • Knowledge of DevOps, CI/CD practices in data projects.
    • Familiarity with data governance, data quality, and data catalog tools
    • Experience with Snowflake as a cloud data platform.
    • Exposure to DBT (Data Build Tool) for transformation logic other similar tools
    • Experience in Banking or Financial sector

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