Job Description

Sr. Data & Integration Architect

Experience

12+ years

of relevant experience
Location

Irving, TX

3 days onsite per week

What's in It for You?
We are seeking an experienced

Data & Integration Architect

to design, build, and maintain robust marketing data pipelines. This role focuses on integrating platforms such as

Sitecore

and

Salesforce

, ensuring strong data governance, and enabling

AI-driven analytics

to support personalized buyer journeys.


Key Responsibilities Data Engineering & Integration
Design, build, and maintain data pipelines to ingest, transform, and model marketing and engagement data using

Databricks

or similar environments. Develop integrations across

Sitecore, Google Marketing Platform, 6sense, LinkedIn, Salesforce

, and other digital platforms to provide end-to-end visibility into the buyer journey. Partner with IT and data teams to align marketing data with enterprise standards for

governance, quality, and security

. Create unified data models that connect engagement data, content consumption, account signals, and opportunity data to support analytics and journey-based insights.
Data Readiness
Collaborate with the

MarTech team

to ensure marketing platforms are configured and documented to support analytics and AI use cases. Define and communicate

data capture standards

, tagging requirements, and event tracking structures for complete buyer journey visibility. Create and maintain

data dictionaries, taxonomies, and schemas

to ensure consistent and reliable data for analytics. Serve as the primary liaison between

Analytics

and

MarTech

teams, translating analytical and modeling requirements into platform configuration and integration needs. Conduct data audits to validate alignment of critical events, attributes, and identifiers across systems.
Web & Personalization Data
Define and maintain frameworks for capturing and structuring

web behavior, personalization events, and user interactions

within Sitecore and related systems. Ensure engagement signals and content interactions are linked to known accounts and individuals for journey analysis and personalization. Support analytics teams in leveraging web data to identify buying-stage patterns and trigger tailored recommendations.
AI & Journey Intelligence Enablement
Partner with marketing AI specialists to ensure data structures support advanced use cases, including:

+ Buyer journey stage prediction
+ Next-best-action and next-best-content modeling
+ Audience and account-level engagement scoring
+ Personalized experience and content recommendation frameworks
Design and maintain data pipelines that make behavioral and engagement data

AI-ready

. Ensure all marketing data is connected and contextualized for AI-driven insights. Evaluate and implement emerging technologies that enhance marketing's ability to predict, personalize, and optimize engagement.
Educational Qualifications
Engineering Degree:

BE / ME / BTech / MTech / BSc / MSc

Technical certifications in multiple technologies are desirable
Skills Mandatory Skills
Strong experience in

data pipeline development

using

Databricks, Spark, SQL, and Python

Hands-on experience with

Google Analytics, Google Sense, Sitecore Personalization, Azure Data Factory, and Databricks

Expertise in integrating marketing platforms such as

Sitecore, Google Marketing Platform, Salesforce, LinkedIn, and 6sense

Solid understanding of

data modeling, governance, and security standards

Knowledge of

digital marketing data structures, tagging, and event tracking

Proven ability to collaborate with

IT and Analytics teams

for data alignment
Good-to-Have Skills
Familiarity with cloud platforms such as

Azure, AWS, or GCP

Understanding of

AI/ML use cases

in marketing, including journey prediction and personalization Experience with

web analytics and personalization frameworks

, particularly Sitecore Skills in

data visualization tools

such as Power BI or Tableau * Awareness of emerging technologies like

Customer Data Platforms (CDPs)

and

identity resolution