Adobe Real‑Time Customer Data Platform (CDP) Specialist – XDM Schema Design, Identity Resolution, and GDPR‑Compliant Data Engineering for Financial Services

Welcome to arenaflex – Pioneering the Future of Data‑Driven Financial Services

At arenaflex, we empower leading financial institutions to unlock the full potential of their customer data through innovative, real‑time platforms. Our mission is to blend cutting‑edge technology with rigorous data‑privacy standards, delivering seamless, personalized experiences that drive growth and trust. As a market‑leader in the financial sector, we are expanding our elite team of data architects and engineers to shape the next generation of Adobe Experience Platform (AEP) solutions.

Why This Role Matters

In an era where every interaction can be leveraged for insight, the ability to ingest, normalize, and activate customer data in real time is a competitive advantage. As a Adobe Real‑Time Customer Data Platform Specialist at arenaflex, you will directly influence how millions of customers experience financial services—ensuring that every data point is accurate, privacy‑compliant, and instantly actionable.

Key Responsibilities

• Data Schema Architecture: Design, develop, and maintain robust data schemas using Adobe’s Experience Data Model (XDM), aligning business objectives with technical standards.
• Event Schema Implementation: Create and deploy event schemas across the AEP platform to capture real‑time customer interactions, ensuring consistent data flow and low latency.
• Multi‑Source Data Ingestion: Engineer pipelines that ingest and transform data from Adobe and external sources, including Google Cloud Platform (GCP) BigQuery and BigData ecosystems.
• Identity Resolution Strategy: Develop sophisticated identity resolution mechanisms that consolidate fragmented customer profiles into a unified, privacy‑first view.
• Privacy & Compliance Management: Apply GDPR, CCPA, and PII best practices within Adobe’s framework, guaranteeing that every data operation meets global regulatory standards.
• Collaboration & Consultation: Partner with product owners, data analysts, and security teams to translate business requirements into scalable technical solutions.
• Performance Optimization: Continuously monitor and tune data pipelines for efficiency, reliability, and cost‑effectiveness.
• Documentation & Knowledge Sharing: Produce comprehensive technical documentation, conduct workshops, and mentor junior team members on AEP best practices.

Essential Qualifications

• Minimum 1 year of hands‑on experience as an Adobe Real‑Time Customer Data Developer, Engineer, or Architect.
• Proven track record designing XDM schemas and implementing event schemas within the Adobe Experience Platform.
• Demonstrated expertise in identity resolution techniques, including deterministic and probabilistic matching.
• Strong understanding of data privacy regulations (GDPR, CCPA, PII) and practical experience embedding compliance controls in Adobe solutions.
• Experience with ingestion and transformation of large‑scale data sets using GCP BigQuery, BigData tools (e.g., Apache Beam, Dataflow), and related ETL frameworks.
• Fluent English communication skills, both written and verbal, to effectively engage with cross‑functional, global teams.
• Ability to work on‑site full‑time in Phoenix, Arizona, adhering to a W‑2 employment model.

Preferred Qualifications & Nice‑to‑Have Skills

• Certification in Adobe Experience Platform or related Adobe products.
• Experience within the financial services sector, understanding of core banking data models and transaction flows.
• Proficiency with additional cloud platforms (AWS, Azure) and data cataloging tools.
• Knowledge of scripting languages (Python, JavaScript) for custom data transformation logic.
• Familiarity with DevOps practices—CI/CD pipelines, containerization (Docker, Kubernetes) for data engineering workloads.
• Strong analytical mindset, capable of troubleshooting complex data inconsistencies and performance bottlenecks.

Core Skills & Competencies

• Technical Acumen: Deep knowledge of Adobe Experience Platform architecture, XDM, and real‑time data processing.
• Data Governance: Ability to design data models that respect privacy, security, and regulatory constraints.
• Problem Solving: Proactive approach to identifying gaps, proposing innovative solutions, and iterating quickly.
• Collaboration: Strong interpersonal skills to work with business stakeholders, data scientists, and IT security teams.
• Adaptability: Comfort working in a fast‑paced environment with evolving technology stacks and business priorities.

Career Growth & Learning Opportunities at arenaflex

Joining arenaflex means stepping into a culture that invests heavily in its people. As a member of our cutting‑edge data team, you will:

• Access a robust learning budget for certifications, conferences (e.g., Adobe Summit, Strata Data Conference), and advanced technical courses.
• Participate in internal hack‑days and innovation labs focused on AI‑driven personalization and data‑centric product development.
• Mentor and be mentored by senior architects who have built award‑winning data platforms for Fortune‑500 financial institutions.
• Explore pathways toward senior technical leadership roles, such as Lead Data Architect, Platform Engineering Manager, or Chief Data Officer.
• Benefit from a structured performance‑review process that aligns personal growth objectives with business impact.

Work Environment & Culture

Our Phoenix office is designed for collaboration and creativity. You’ll find:

• Open‑plan workspaces equipped with dual monitors, ergonomic furniture, and quiet zones for focused work.
• A vibrant community of data professionals who regularly share knowledge through brown‑bag sessions and lunch‑and‑learn events.
• Commitment to diversity, equity, and inclusion—ensuring every voice is heard and valued.
• Flexible work‑hour arrangements within the on‑site requirement to support work‑life balance.
• On‑site amenities such as a fully stocked kitchen, wellness rooms, and regular team‑building activities.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package designed to attract top talent in the data engineering space. While specifics will be discussed during the interview process, candidates can generally expect:

• Industry‑leading hourly rates reflective of expertise and market demand.
• Comprehensive health, dental, and vision coverage for employees and dependents.
• 401(k) retirement plan with company match.
• Paid time off (PTO) and holidays to recharge and spend time with loved ones.
• Employee assistance program (EAP) for mental health and well‑being support.
• Transportation stipend or on‑site parking for Phoenix office commuters.
• Access to cutting‑edge hardware and software tools to deliver high‑impact solutions.

Application Process

We have streamlined a two‑step interview process to respect your time:

1. Initial Technical Screening: A 30‑minute conversation focused on your experience with Adobe Experience Platform, data modeling, and privacy compliance.
2. Deep‑Dive Interview: A comprehensive discussion with senior architects and product owners, including a hands‑on design exercise.

If you meet the criteria and are excited about shaping the future of real‑time customer data for a leading financial services client, we want to hear from you.

How to Apply

Send your updated résumé—highlighting relevant Adobe Experience Platform projects—and your hourly rate expectations to j.mampaso@arenaflex.com or s.schenk@arenaflex.com. Our recruitment team will review your submission and reach out promptly to schedule the next steps.

Join arenaflex Today

At arenaflex, your expertise will directly influence how a major financial institution engages with its customers in a privacy‑first, data‑driven world. This is more than a contract—it’s an opportunity to leave a lasting imprint on an industry undergoing rapid transformation. Take the next step in your career and become a catalyst for real‑time, personalized financial experiences.

Apply now and let’s build the future of data together.