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Martech Data Engineer Jobs in Atlanta, GA (NOW HIRING)

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Maintains overall MarTech industry Data knowledge on latest trends, technology, etc. Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. focusing on ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... MarTech industry Data knowledge on latest trends, technology, etc. • Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. • focusing on individual ...

... MarTech industry Data knowledge on latest trends, technology, etc. • Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. • focusing on individual ...

The Principal, Engineer demonstrates strong proficiency in Java, Python, data structures, and ... Experience using Marketing Technology (MarTech) stack. Technical Proficiency : Architecture ...

The Principal, Engineer demonstrates strong proficiency in Java, Python, data structures, and ... Experience using Marketing Technology (MarTech) stack. Technical Proficiency : Architecture ...

This role works within the MarTech engineering team to build scalable APIs, data pipelines, and integrations that support CRM, loyalty, journey orchestration, and AI-driven marketing initiatives. Key ...

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Showing results 1-20

Martech Data Engineer information

See Atlanta, GA salary details

$49.5K

$141.8K

$189.4K

How much do martech data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for martech data engineer in Atlanta, GA is $141,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $188,500.00 per year, depending on experience, location, and employer.

What is a Martech Data Engineer?

A Martech Data Engineer is a technology professional who specializes in building and maintaining the data infrastructure that supports marketing technology (Martech) platforms. They enable the collection, integration, and analysis of marketing data from multiple sources, ensuring data quality and accessibility for marketing teams. Their work helps organizations make data-driven marketing decisions, personalize customer experiences, and measure campaign effectiveness. Martech Data Engineers often collaborate with marketers, analysts, and other engineers to implement data pipelines and optimize marketing operations.

How does a Martech Data Engineer typically collaborate with marketing and analytics teams to achieve business goals?

As a Martech Data Engineer, you will regularly partner with marketing and analytics teams to design, build, and maintain data pipelines that support campaign performance tracking and customer segmentation. You’ll work closely with marketers to understand their data needs and translate them into scalable technical solutions, often attending cross-functional meetings to plan new data integrations or troubleshoot issues. Collaboration also involves ensuring data quality, managing ETL processes, and enabling self-serve analytics by making data accessible and reliable for non-technical stakeholders. This close teamwork helps drive data-driven decision-making and ensures marketing strategies are effectively measured and optimized.

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

To thrive as a Martech Data Engineer, you need a solid background in data engineering, SQL, and marketing technology platforms, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or GCP), and certifications in marketing automation systems like Salesforce or Adobe Experience Cloud are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help bridge the gap between marketing and technical teams. These skills enable the efficient integration, analysis, and utilization of marketing data, driving better decision-making and campaign performance.

What is the difference between Martech Data Engineer vs Data Analyst?

AspectMartech Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, marketing tech toolsData visualization, reporting, business insights
Employer & Industry UsageMarketing agencies, tech companies, e-commerceMarketing teams, business intelligence units
Common Search & Comparison IntentUnderstanding technical data roles in marketingAnalyzing marketing data for insights

The Martech Data Engineer focuses on building and maintaining data pipelines and infrastructure for marketing data, while the Data Analyst interprets data to generate insights and reports. Both roles are essential in marketing tech environments but serve different functions within data management and analysis.

What are popular job titles related to Martech Data Engineer jobs in Atlanta, GA?

For Martech Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Martech Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Martech Data Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Martech Data Engineer jobs?

Cities near Atlanta, GA with the most Martech Data Engineer job openings:

    Infographic showing various Martech Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,807 per year, or $68.2 per hour.

    Sr. Manager - MarTech Data & Platforms Engineering

    Truist

    Atlanta, GA

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 3 days ago

    New


    Truist rating

    7.9

    Company rating: 7.9 out of 10

    Based on 120 frontline employees who took The Breakroom Quiz

    77th of 174 rated banks


    Job description

    The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

    Need Help?

    If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

    Regular or Temporary:

    Regular

    Language Fluency: English (Required)

    Work Shift:

    1st shift (United States of America)Please review the following job description:The Senior Manager, MarTech Data & Platforms Engineering is responsible for leading the architecture, engineering, governance, and operational excellence of the enterprise Marketing Technology data ecosystem. This leader owns the platforms, frameworks, and engineering practices that enable customer data collection, integration, transformation, activation, analytics, measurement, and privacy compliance across the MarTech landscape.
    This role combines hands-on technical leadership with people management and strategic execution. The Senior Manager drives the modernization of customer data platforms, cloud data infrastructure, digital data collection, identity management, and activation services while leading engineering teams responsible for delivering scalable, secure, and compliant solutions.
    The ideal candidate possesses deep expertise in cloud data platforms, marketing technology, customer data ecosystems, privacy regulations, platform engineering, and modern software engineering practices.

    ESSENTIAL DUTIES AND RESPONSIBILITIES
    Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

    MarTech Data Platform Strategy & Architecture

    • Define and execute the technology roadmap for MarTech data and platform engineering.
    • Lead the architecture and evolution of customer data platforms, marketing data services, and activation frameworks.
    • Establish scalable architectures supporting batch, streaming, and real-time data use cases.
    • Drive modernization initiatives across data ingestion, data transformation, and data provisioning capabilities.
    • Partner with Enterprise Architecture to align MarTech technology investments with enterprise standards.

    Data Engineering & Platform Delivery

    • Lead engineering teams responsible for data ingestion, transformation, orchestration, and activation services.
    • Deliver scalable pipelines supporting customer profiles, audience activation, campaign execution, personalization, and measurement use cases.
    • Own platform reliability, scalability, performance, resiliency, and technical debt management.
    • Establish engineering standards, reusable frameworks, CI/CD pipelines, and automation practices.
    • Ensure operational excellence through proactive monitoring and observability.

    Customer Data & Activation Services

    • Oversee customer data management capabilities across CDP, AEP, Snowflake, and activation platforms.
    • Enable audience creation, segmentation, identity resolution, and customer journey orchestration capabilities.
    • Support activation use cases across web, mobile, email, media, CRM, and analytics ecosystems.
    • Drive consistency of customer data across platforms and channels..

    Platform Governance & Vendor Management

    • Establish governance processes for platform configuration, integrations, and data quality.
    • Maintain strategic relationships with MarTech vendors.
    • Lead vendor evaluations, contract support, and technology rationalization efforts.
    • Drive adoption of engineering and operational best practices.

    Engineering Leadership

    • Lead and develop a team of engineers, architects, and technical leads.
    • Create a culture of ownership, accountability, innovation, and continuous improvement.
    • Provide direction for staffing, workforce planning, vendor management, and talent Development.
    • Mentor engineers and managers in architecture, engineering practices, and platform strategy.
    • Establish KPIs and OKRs aligned to platform reliability, delivery, quality, and business outcome
    • Foster a culture of ownership, documentation, testing, and compliancefirst engineering.

    Core Technical Skills Required

    • Snowflake, Databricks, AWS/Azure data services.
    • Strong proficiency in SQL, Python, ETL/rETL frameworks, Streaming, Data modeling, API integrations.
    • Experience with Adobe Web SDK and serverside data collection
    • Background in platform engineering or modern frontend frameworks
    • Experience implementing mobile app tracking using iOS and Android SDKs.
    • CI/CD, version control, and deployment processes, GitHub / GitLab, observability and monitoring.

    Leadership & Soft Skills

    • Ability to lead through influence while remaining deeply technical
    • Clear communicator with engineers, product teams, marketers, and executives
    • Strong bias toward clean implementation, documentation, and longterm maintainability
    • Comfort making architectural decisions in ambiguous or regulated environments

    Qualifications
    Required Qualifications
    The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


    1. Bachelor's degree in Computer Science, Software Engineering, or equivalent combination of advanced education and experience, which could include any combination of 8 years of experience in IT software engineering, 5 years' relevant business experience (i.e. making technical-related decisions on the business side), 5 years' experience in project management, and at least 2 years of management experience
    3. Advanced management and leadership experience leading teams.
    4. Developing expertise and knowledge of software architecture, development lifecycle, and technology strategy.

    Preferred Qualifications

    • 10+ years of software, data, or platform engineering experience.
    • 5+ years leading engineering teams and large-scale technology programs.
    • Deep expertise in customer data management, cloud engineering solutions, federated data and mesh data architecture.
    • Strong background in cloud-native architecture, data engineering, and privacy-compliant solutions.
    • Proven experience driving modernization, automation, and operational excellence initiatives.
    • Exceptional communication skills with the ability to influence stakeholders from engineers to executive leadership.

    The annual base salary for this position in Richmond and Raleigh is $133,000-188,000.

    General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

    Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

    EEO is the Law E-Verify IER Right to Work


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    About Truist

    Sourced by ZipRecruiter

    Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

    Industry

    Finance and insurance

    Company size

    10,000+ Employees

    Headquarters location

    Charlotte, NC, US

    Year founded

    2019