Sr. Data & Integration Architect

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.

Experience:

12+ years of relevant experience

Location:

Irving, TX; 3 days onsite per week.

• 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, Linked In, 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.

• Collaborate with the Mar Tech 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 Mar Tech 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.
• 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.
• 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.

• Engineering Degree:
  BE / ME / BTech / MTech / BSc / MSc
• Technical certifications in multiple technologies are desirable

• 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, Linked In, 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

• 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

Mid‑Senior level

Contract

Information Technology

IT Services and IT Consulting

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