Sr. Data & Integration Architect

AddSource; Irving (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A technology consulting firm based in Irving, TX is seeking a skilled Data & Integration Architect to design and maintain robust marketing data pipelines, integrating platforms like Sitecore and Salesforce. The ideal candidate will have over 12 years of experience, focusing on data governance and AI-driven analytics to enhance personalized buyer journeys. Responsibilities include developing data integrations, collaborating with IT teams, and ensuring data accuracy across systems in a mid-senior level contract role.

Qualifications

• 12+ years of relevant experience in data architect roles.
• Strong understanding of data governance and security standards.
• Technical certifications in relevant technologies are desirable.

Responsibilities

• Design, build, and maintain marketing data pipelines using Databricks.
• Develop integrations across various marketing platforms.
• Partner with IT and analytics teams for data alignment.
• Conduct data audits to ensure accurate event tracking.

Skills

Data pipeline development

Databricks

Spark

SQL

Python

Google Analytics

Sitecore Personalization

Azure Data Factory

Digital marketing data structures

Event tracking

Education

Engineering Degree (BE / ME / BTech / MTech / BSc / MSc)

Tools

Power BI

Tableau

Job description

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.

Key Responsibilities

• 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.
• 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.

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

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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