Marketing Data Platform & Integration Architect (Remote)

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Hope you are doing well !!

I have an urgent position. Kindly go through the Job description and let me know if this would be of interest to you.

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 Adobe AEP and AWS

Profile Summary : -

A senior hands-on data and martech architect who has built and delivered modern data ecosystems integrating AWS and Adobe 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 Adobe 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

Adobe Experience Platform (AEP) , Adobe 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 Adobe 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.