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Job Title : Marketing Data Platform & Integration Architect
Location : Remote
Duration: 6 + months
Visa : USC Preferred
About the job
***Marketing Data Platform & Integration Architect (Hands-On, Strategic + Execution)***
***Must have experience with A e AEP and AWS***
Profile Summary:-
A senior hands-on data and martech architect who has built and delivered modern data ecosystems integrating AWS and A e Experience Platform (AEP). This person bridges strategy and execution, able to walk into a fragmented, politically complex environment and quickly assess the current state - systems, data, ownership, frustrations, and opportunities - while simultaneously designing and building the future-state roadmap. They combine technical mastery with stakeholder empathy, translating architecture into measurable business value and enabling marketing and sales teams to use their data with confidence.
Core Responsibilities:-
- Conduct structured current-state discovery across data, platforms, and business workflows.
- Identify existing data assets, integrations, pain points, and bottlenecks.
- Document how data flows today across marketing, tele sales, and broker channels.
- Surface gaps, redundancies, and dependencies between technical and business systems.
- Develop a future-state roadmap that defines:
- The data lakehouse architecture and governance model (built in AWS).
- Integration with A e Experience Platform or equivalent CDP.
- A phased delivery approach balancing quick wins with scalable architecture.
- Lead the translation of strategy into action - design, prototype, and build the data environment hands-on.
- Partner with marketing, product, and analytics stakeholders to define value cases for each phase (speed, visibility, cost reduction, lead conversion, or compliance gains).
- Act as the bridge between IT and business, ensuring every technical milestone ties back to tangible impact and stakeholder adoption.
Technical Competencies:-
- Cloud and Data Engineering:
- Expert in AWS (S3, Glue, Redshift, Lambda, Step Functions, CloudWatch).
- Designed multi-zone lakehouse architectures (raw, curated, governed layers).
- Familiar with Databricks, Snowflake, and event-based ingestion (Kafka, Kinesis).
- Skilled in Python, SQL, and data pipeline orchestration.
- Martech Integration:
- Direct hands-on experience with A e Experience Platform (AEP), A e Analytics, and Real-Time CDP.
- Knowledge of identity stitching, profile unification, and activation pipelines.
- Experience integrating data into campaign and marketing ecosystems (e.g., Salesforce, Marketo, Braze).
- Data Governance & Observability:
- Established data quality monitoring, cataloging, and lineage frameworks.
- Comfortable balancing compliance (HIPAA/PII) with activation needs.
Stakeholder & Communication Skills:-
- Skilled in discovery and mapping workshops with business and technical teams.
- Capable of asking the right questions to uncover:
- What data users rely on most.
- What frustrates them about current access or accuracy.
- What value outcomes they need (speed, visibility, autonomy, reporting).
- Can translate stakeholder pain points into solution design, demonstrating empathy and business acumen.
- Able to produce simple, compelling visual and narrative artifacts:
- As-Is data flow maps and ownership matrices.
- To-Be architecture diagrams and phase roadmaps.
- Clear linkage of each improvement to business KPIs or efficiency gains.
- Effective communicator across executive, marketing, and technical audiences confident presenting to skeptical or political groups and earning their buy-in through clarity and credibility.
Soft Skills and Behavioral Traits:-
- Hands-on Strategist: Comfortable designing and coding in AWS while maintaining a view of enterprise strategy.
- Empathetic Mapper: Enjoys understanding how things work today - not just what should work.
- Business Translator: Converts technical solutions into business outcomes and measurable ROI.
- Diplomatic Influencer: Navigates politics with composure; builds trust in environments with existing skepticism toward data teams.
- Independent Operator: Works autonomously, self-directing discovery, architecture, and delivery without needing heavy oversight.
- Outcome-Driven: Obsessed with real-world adoption, not just technical completion.
Experience Markers:-
- 7-10 years of total experience; at least 5 in AWS and A e data ecosystems.
- Proven history of mapping and transforming current-state data architectures into modern lakehouse/CDP environments.
- Delivered measurable value in environments with both IT and marketing data ownership.
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