AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLEWe are looking for a Data Architect specialized in the Adobe Experience Platform to unify customer data across the enterprise.
This person architects RTCDP and AJO solutions, designs XDM schemas, and configures identity resolution frameworks that power unified customer profiles.
Partnering with marketing and analytics teams on data ingestion and activation is central here.WHAT YOU WILL DO- Design and implement robust data architectures within the Adobe Experience Platform (AEP), focusing heavily on RTCDP and AJO.
- Architect and maintain the Experience Data Model (XDM) schemas, ensuring standardized data taxonomies across the organization.
- Configure data ingestion pipelines (batch and streaming) from various enterprise sources into AEP.
- Define and configure identity resolution frameworks and merge policies to build comprehensive, unified customer profiles.
- Partner with CRM and Marketing teams to build and orchestrate complex, cross-channel customer journeys in Adobe Journey Optimizer (AJO).
- Create and manage advanced audience segments within RTCDP for activation across various marketing destinations.
- Troubleshoot and optimize data flows, ensuring high data quality, governance, and compliance with privacy regulations.
- Provide technical leadership and mentorship to junior engineers and cross-functional teamsrganization.
This is not a traditional backend or internal data engineering position.
You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.
You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.
What You'll Be Doing
Design, develop, and maintain production-grade data collectors, connectors, and ingestion services .
Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.
Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources .
Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .




Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
Optimize ingestion performance, reliability, scalability, and operational efficiency.
Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
Contribute technical insights from real-world implementations to the product roadmap.
Support production adoption and continuously improve time-to-value for enterprise customers.
Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.
What You Bring
10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
Strong software development experience with:
Python
Go
Strong experience designing and consuming REST APIs .
Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems .
Experience integrating complex enterprise systems and third-party platforms.
Solid understanding of both SQL and NoSQL databases .
Production experience with at least one major cloud platform:
AWS
Azure
GCP
Experience working with Docker and Kubernetes .
Strong understanding of Git-based development workflows and CI/CD practices .
Experience designing reliable, scalable, and production-ready distributed systems.
Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
Experience working directly with customers, stakeholders, or technical partners.
Ability to translate complex customer requirements into pragmatic technical solutions.
Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
High degree of autonomy and ownership when solving ambiguous technical problems.
Highly Relevant Experience
Experience with any of the following will be especially valuaband an understanding of marketing automation workflows.
- Strong communication skills with the ability to translate marketing objectives into technical data architectures.NICE TO HAVES- Experience with other Adobe ecosystem tools (Adobe Target, Adobe Analytics, Customer Journey Analytics).
- Previous experience migrating legacy DMP or marketing automation platforms into AEP.
- Adobe certifications in RTCDP or AJO.PERKS AND BENEFITS- Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime : Tailor your schedule for an optimal work-life balance,



by having the options of working from home and going to the office – whatever makes you the happiest and most productive.Job DescriptionAgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLEWe are looking for a Data Architect specialized in the Adobe Experience Platform to unify customer data across the enterprise.
This person architects RTCDP and AJO solutions, designs XDM schemas, and configures identity resolution frameworks that power unified customer profiles.
Partnering with marketing and analytics teams on data ingestion and activation is central here.WHAT YOU WILL DO- Design and implement robust data architectures within the Adobe Experience Platform (AEP), focusing heavily on RTCDP and AJO.
- Architect and maintain the Experience Data Model (XDM) schemas, ensuring standardized data taxonomies across the organization.
- Configure data ingestion pipelines (batch and streaming) from various enterprise sources into AEP.
- Define and configure identity resolution frameworks and merge policies to build comprehensive, unified customer profiles.
- Partner with CRM and Marketing teams to build and orchestrate complex, cross-channel customer journeys in Adobe Journey Optimizer (AJO).
- Create and manage advanced audience segments within RTCDP for activation across various marketing destinations.
- Troubleshoot and optimize data flows, ensuring high data quality, governance, and compliance with privacy regulations.
- Provide technical leadership and mentorship to junior engineers and cross-functional teams regarding AEP best practices.MUST HAVES- 5+ years of experience in Data Architecture, MarTech engineering, or Data Engineering .
- Proven hands-on expertise with the Adobe Experience Platform (AEP), specifically RTCDP and Adobe Journey Optimizer (AJO) .
- Deep understanding of the Experience Data Model (XDM) and JSON-based schema design .
- Strong background in data ingestion (REST APIs, cloud storage connections, streaming endpoints) and data integration strategies .
- Experience with identity management, profile stitching, and building unified customer profiles .
- Proficiency in querying languages (SQL ) and an understanding of marketing automation workflows.
- Strong communication skills with the ability to translate marketing objectives into technical data architectures.NICE TO HAVES- Experience with other Adobe ecosystem tools (Adobe Target, Adobe Analytics, Customer Journey Analytics).
- Previous experience migrating legacy DMP or marketing automation platforms into AEP.
- Adobe certifications in RTCDP or AJO.PERKS AND BENEFITS- Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
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