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Martech Data Engineer Jobs in Houston, TX (NOW HIRING)

Orbee

Customer Success Manager

Cypress, TX · On-site

You have a background in SaaS, MarTech, or Data-driven environments. You don't need to be an engineer, but you must be comfortable discussing data flows and software integrations. * Automotive ...

Sitecore

Senior Channel Solution Engineer

Houston, TX

$52.75 - $68/hr

... and data into one composable platform that enables brands to deliver millions of meaningful ... Experience with Digital Experience Platforms (DXP), CMS, DAM MarTech, or enterprise software ...

Academy, Ltd.

Manager Enterprise Architecture

Katy, TX · On-site

Working knowledge of data, martech, and digital platforms. * Proficiency with productivity and ... Partner with product, engineering, and delivery teams to ensure architectural intent is maintained ...

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All JobsMartech Data Engineer JobsMartech Data Engineer Jobs in Houston, TX

Martech Data Engineer information

See Houston, TX salary details

$49.2K

$140.8K

$188.1K

How much do martech data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for martech data engineer in Houston, TX is $140,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $187,200.00 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 Houston, TX?

For Martech Data Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Martech Data Engineer jobs in Houston, TX look for?

The top searched job categories for Martech Data Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Martech Data Engineer jobs?

Cities near Houston, TX with the most Martech Data Engineer job openings:

Martech Data Engineer jobs near you

Solution Architect, Customer Data and MarTech

Academy Sports + Outdoors

Katy, TX • On-site

Full-time

Re-posted 13 days ago

Academy Sports + Outdoors rating

5.9

Company rating: 5.9 out of 10

Based on 448 frontline employees who took The Breakroom Quiz

405th of 739 rated retailers

Job description

Who We Are
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country - but what truly sets us apart is our people. We're a passionate, purpose-driven team that's as committed to each other as we are to our customers.
We've spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member's journey. What fuels us? Our belief in the power of fun.
Here, you won't just help customers gear up for their next adventure - you'll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can't lose!
Education:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (master's degree a plus).

Work Experiences:
  • 8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions
  • MarTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels.
  • Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions.
  • Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers.
  • Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage.
  • Experience designing architectures for personalization, ML decisioning, loyalty programs, closed-loop measurement, and attribution.
  • Hands-on experience with marketing automation platforms (ESP/SMS/Push) integrated with customer data and analytics platforms.
  • End-to-end experience across the MarTech and AdTech stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation.
  • Background integrating CMS/DAM platforms with personalization and engagement ecosystems.
  • Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data.
  • Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor architecture assessments.
  • Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming).
  • Experience working with Data Science teams to operationalize ML models into customer-facing workflows.
  • Exposure to AI-driven engagement, automation, and GenAI is considered a plus.

Skills:
  • Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar ecosystems.
  • Customer Data: Customer Data Platforms, Customer Data Warehouse, Customer Master Data, Customer 360
  • Identity Resolution: First-party, hybrid, and third-party identity graphs, deterministic and probabilistic matching
  • Marketing Platforms: ESP/SMS/Push, CRM, CMS/DAM, personalization, and decisioning engines
  • AdTech/Media: Paid media platforms, attribution frameworks, Retail Media Networks, audience activation
  • Cloud Platforms: GCP preferred (AWS/Azure acceptable)
  • Integration Patterns: APIs, microservices, event-driven architectures (Kafka, Pub/Sub)
  • Data Platforms: Data lakes, data warehouses, Lakehouse patterns, structured and unstructured databases
  • Customer Data Governance: Consent management, data lineage, auditability, data contracts
  • Architecture Strategy: Build vs buy evaluation, platform scalability, cost optimization, real-time vs batch tradeoffs
  • AI/GenAI adoption: Leveraging AI/GenAI across marketing use cases and software development to drive personalization, automation, and engineering efficiency.
  • Process Automation: DevOps, AIOps & automation frameworks for Martech
  • Excellent communication and presentation skills with the ability to simplify complex concepts for business and executive stakeholders.
  • Strong problem-solving, creativity, and ability to balance technical rigor with business value.

Responsibilities:
  • Architecture & Design: Define and deliver solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems. Establish target-state architecture across CDP, Data Warehouse, and Customer Master Data with clear separation of concerns between data mastering, activation, and analytics.
  • Integration: Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems.
  • Identity & Governance: Define and govern identity resolution, enterprise customer ID strategy, and consent enforcement, ensuring compliance with privacy regulations and enterprise data policies.
  • Personalization & Decisioning: Architect real-time and batch decisioning frameworks, enabling scalable personalization, experimentation, and ML-driven customer engagement.
  • Data & Content Technology Strategy: Define standards for data flows, identity management, customer mastering approaches, and content governance across platforms.
  • Retail Media & Activation: Enable first-party data activation across paid media and Retail Media Networks, supporting audience creation, targeting, and monetization.
  • Vendor Strategy & Cost Optimization: Evaluate MarTech and AdTech platforms, drive build vs buy decisions, and optimize platform usage and cost, including CDP unit economics.
  • Innovation & Strategy: Stay ahead of trends in MarTech, AdTech, AI, and analytics, recommending new technologies and approaches that drive measurable business outcomes.
  • Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring scalability, security, compliance, and alignment with enterprise architecture standards.
  • Collaboration: Partner with Marketing, Product, IT, Data Science, and vendors to align on roadmaps, define capability-driven Architecture models, and deliver reusable, scalable solutions.

Physical Requirements & Attendance:
  • Acceptable level of hearing and vision to perform job duties
  • Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
  • Regular in-office attendance is required.
Equal Employment Opportunity
Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.

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