Customer Data Platform CDP Architect

Bright Horizons•Greenville, TX

1d•Remote

About The Position

The Data Architect is responsible for Design, Build and Delivery of Data technology solutions on Bright Horizons Customer Data Platform (CDP) that are aligned with business needs. Candidate should be able to understand overall CDP / Data eco system, build roadmaps aligned to business need and provide technical recommendations, best practices working with internal and external teams to deliver results. Build and Deliver CDP Centric Large Language Models (LLMs) to deliver more personalize recommendations and offers to our customers. Transform the existing CDP landscape from a traditional Data platform to more of an Agentic AI platform that can handle data at scale and build LLM and Agentic AI solutions for more efficiency at speed. Collaborate with Product and Business Organizations on requirements, roadmap and deliverables and produce organizationally aligned outcomes. Prior experience on implementing enterprise level data initiatives and next generation technologies is a requirement. Bright Horizons is a leading education and care company that helps employees thrive at work and at home by partnering with employers to offer high-quality child care, elder care, and educational support. Our workplace reflects this commitment—with collaborative environments, meaningful benefits, and a culture that supports both career growth and personal well-being. Whether you’re caring for children or powering the systems and partnerships that make it all possible, at Bright Horizons, you’re the difference.

Requirements

Bachelor's Degree in Computer Science
7 years In building Data Engineering solutions and products
Experience in Data Engineering and Data Science technologies, including building custom data solutions and bespoke Customer Data Platforms (CDPs) across multiple data platforms
Experience designing and building ML and LLM solutions on CDPs and other data platforms, including work with Agentic AI and RAG‑based architectures, with experience in the Microsoft Azure ecosystem (CI‑D/CI‑J, Dynamics 365 Customer Insights, Azure Data Lake, Azure Purview, and Azure OpenAI integration).

Nice To Haves

Master's Degree
Advanced understanding of building bespoke CDPs preferably on Microsoft CI-D /CI-J or any other platforms such as Salesforce, Adobe, Tealium or others.
Experience with real-time data ingestion and processing using tools like Azure Event Hubs, Kafka, or Stream Analytics
Hands-on experience designing and implementing customer identity resolution frameworks and Customer 360 views using deterministic and probabilistic matching techniques.
Good understanding of data governance frameworks, including data lineage, cataloging, and stewardship using tools like Azure Purview
Familiarity (or aptitude in line) with integrating ML models into CDPs for personalization, churn prediction, or segmentation using Azure ML or Databricks.
Understanding of MarTech stack includes technologies such as Web Tagging and Analytics, Customer Match and Merge, or personalization.
Keep current on CDPs technology roadmap and provide recommendations on the adoption of new features that would benefit BH.
Thorough understanding of the complete software development life cycle with ability to learn and adapt to innovative technologies quickly.
Experience in building Data platforms with high level of data quality, compliance, and good understanding of data privacy laws such as CCPA, GDPR etc.
Good understanding to build application integrations with data platforms ensuring data security, data access and service-oriented architecture solutions.
Knowledge of Data Technologies such as PySpark, Azure, Synapse, Snowflake, Data Factory, Informatica cloud, SQL Databases and others.
Familiarity with information integration activities such as mapping and transformation, data validation, and data analysis including data mining and business intelligence.
Experience building and supporting mission critical applications, running in a highly distributed manner.
Familiarity with configuration management concepts and tools, source code control, and development standards.
Familiarity with software usability concepts.
Experience collaborating with multiple customers and technical staff, including building consensus and mediating compromises when necessary.
Strong logical and technical critical thinking skills.
Strong judgment and decision-making ability.
Passion and ability in providing excellent customer service.

Responsibilities

Provide technical leadership on design, development and execution of Data Engineering and Data Analytics solutions on CDP
Design and implement Data led MarTech solutions on CDP that helps marketing / business team to leverage and build on the platform.
Design and build solutions on CDP, built on Microsoft Customer Insights Data (CI-D),Customer Insights Journey (CI-J), to further enhance the platform with more capabilities as needed.
Design and build LLM and Predictive ML models on the platform to unleash more machine learning capabilities across customer transactions and behavior.
Build Agentic AI solutions on CDP with the modern AI driven architecture to build Agents that help in driving the insights for Marketing / other LoBs in more of an automated way.
Define and Design the Next Bes Action and Offer initiative within BH to build solution driven with LLM and ML models to understand customer behavior patterns and recommend cross-sell & up-sell opportunities.
Define and implement data architecture frameworks, standards, and principles, including data modeling, metadata management, data security, and master data management.
Collaborate with cross-functional teams to develop and implement data extraction, transformation processes and data integration strategies.
Participate in proposing new technical architectures and solutions to improve and enhance existing architectures.
Determine scope and provide level of effort estimates for project tasks and related activities, and match required skill sets to task requirements and allocate team resources appropriately.
Experience with data modeling and schema design, data normalization / de-normalization, and data integration approaches and technologies such as those used in multi-source enterprises.
Effective Communication & articulation with internal and external stakeholders
Teamwork: Team player and technology leader in organization set up