Data Architect Adobe Analytics

SysTechCorp Inc; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

SysTechCorp Inc. is seeking an experienced Data Architect to lead the design and implementation of a modern customer data and analytics platform, integrating Adobe Analytics, identity resolution, and an enterprise data warehouse.

This role requires deep expertise in Adobe Experience Cloud, enterprise data warehousing, customer identity management, and large-scale behavioral data platforms. You will define scalable data models, governance processes, and analytics-ready datasets supporting

Qualifications

• 10+ years in Data Architecture, Data Warehousing, or Customer Data Platforms.
• 5+ years architecting Adobe Experience Cloud solutions.
• Experience with enterprise Customer 360 solutions.
• Experience with large-scale clickstream and digital analytics platforms.
• Hands-on experience supporting marketing analytics and attribution use cases.

Responsibilities

• Lead the data architecture workstream for a MarTech Optimization initiative from web engagement capture through analytics-ready dimensional models in BigQuery.
• 7-10 years of total data experience, with 3-5 years in a Data Architect capacity.
• Deep hands-on experience with Adobe Analytics implementation concepts including eVars, props, events, and success metrics.
• Strong understanding of attribution models and their influence on campaign performance and conversion analytics.
• Develop customer journey tracking across anonymous and authenticated sessions and mobile-to-offline interactions.
• Architect ingestion and integration of Adobe Analytics clickstream data into enterprise analytical platforms.
• Design scalable solutions for capturing web behavioral data including page visits, button clicks, user journeys, and campaign interactions.
• Define architecture for Adobe Analytics EVAR management and downstream consumption.
• Establish enterprise standards for EVAR inventory, metadata documentation, and governance.

Skills

Data Architecture

Data Warehousing

Customer Data Platforms

Adobe Experience Cloud

Adobe Analytics

BigQuery

GCP

Dataflow

Dataproc

Data governance

Marketing analytics

Tools

Adobe Analytics

BigQuery

Cloud Composer (Airflow)

Dataflow

Dataproc

Google Cloud Storage

Job description

We are seeking an experienced Data Architect to lead the design and implementation of a modern customer data and analytics platform that integrates Adobe Analytics clickstream data, customer identity resolution, and enterprise data warehouse capabilities. The architect will define scalable data models, identity stitching frameworks, governance processes, and analytics-ready datasets supporting digital marketing, customer journey analytics, membership conversion tracking, campaign attribution, and Customer 360 initiatives.

The role requires deep expertise in Adobe Experience Cloud (Adobe Analytics, ECID, A4T integrations), enterprise data warehousing, customer identity management, and large-scale behavioral data platforms.

Required Qualifications

Experience

• 10+ years in Data Architecture, Data Warehousing, or Customer Data Platforms.
• 5+ years architecting Adobe Experience Cloud solutions.
• Experience implementing enterprise Customer 360 solutions.
• Experience with large-scale clickstream and digital analytics platforms.
• Hands-on experience supporting marketing analytics and attribution use cases.

Key Responsibilities

• Lead the data architecture workstream for a MarTech Optimization initiative defining the end-to-end data strategy from web engagement capture through to analytics ready dimensional models in BigQuery
• 7-10 years of total data experience, with 3 - 5 years in a Data Architect capacity
• Deep hands-on experience with Adobe Analytics implementation concepts including eVars, props, events, and success metrics
• Strong understanding of attribution models (last touch, first touch, linear, participation) and how they influence campaign performance, email attribution and conversion analytics.
• Developed customer journey tracking across Anonymous sessions, authenticated sessions and mobile to offline interactions.
• Experience with clickstream data structures understanding session, hit, and visitor-level granularity and how to model these for downstream consumption
• Architect ingestion and integration of Adobe Analytics clickstream data into enterprise analytical platforms.
• Design scalable solutions for capturing web behavioral data including Page visits, Button clicks, User journeys, Campaign interactions, Offer impressions and responses
• Define architecture for Adobe Analytics EVAR management and downstream consumption
• Establish enterprise standards for EVAR inventory, metadata documentation, and governance.

Customer Identity Resolution & Identify Stitching

• Design and implement Customer 360 identity frameworks.
• Experience creating deterministic and probabilistic matching strategies and supporting anonymous-to-known customer conversion journeys.

Data Integration & Staging on GCP

• Experience designing ingestion pipelines to land Adobe Analytics data (via Data Feeds or Reporting API) into GCP Cloud Storage as a raw/staging layer
• Ability to define file formats, partitioning strategies, & schema standards for the staging area
• Familiarity with integration patterns including batch feed ingestion, incremental loads, and schema evolution handling

Dimensional Modeling

• Design conceptual, logical, and physical data models supporting Customer 360, Digital behavior analytics, Marketing attribution, and Journey analytics
• Ability to translate raw clickstream feeds into conformed, analytics-ready data marts supporting marketing and digital teams
• Define enterprise-wide data integration patterns for customer identity and digital interaction data.

GCP Orchestration & Processing

• Working experience with Cloud Composer (Airflow) for pipeline orchestration and dependency management
• Hands-on experience with Dataflow (Apache Beam) for scalable stream and batch processing of high-volume clickstream data
• Limited but functional exposure to Dataproc for Spark-based processing where applicable

Delivery

• Comfortable operating in an agile delivery model, contributing to sprint ceremonies and working across data engineering, QA, and business stakeholder teams
• Strong documentation skills able to produce data dictionaries, lineage diagrams, and architecture decision records
• Experience working within managed services or client-embedded delivery teams is a plus