VeeRteq Solutions LLC
Sr. Data & Integration Architect
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.
Location Irving, TX
3 days onsite per week
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
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
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
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Location Irving, TX
3 days onsite per week
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
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
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
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