Data Architect

We are a global technology company, home to more than 226,000+ people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. Consolidated revenues for 12 months ending December 2025 totaled $14.5B. ( )

Title:

Data Architect

Location:

Missouri, St Louis

Work Model:
Onsite

We are seeking a highly skilled Data Architect with deep expertise in Databricks, enterprise data modernization, cloud architecture, and AI-driven solutions
. This role will help organizations establish and scale a Databricks Data Intelligence Platform that unifies data, governance, analytics, and intelligent application development.

As a trusted advisor and technical leader, you will drive enterprise transformation initiatives, modernize legacy data environments, establish governance frameworks, and build scalable data foundations that power advanced analytics, AI, and next-generation data products.

• Architect and deliver modern Databricks Lakehouse solutions using Delta Lake, Medallion architecture, and scalable cloud-native design patterns.
• Lead enterprise data modernization initiatives, assess current-state environments, define target-state architectures, and guide implementation roadmaps.
• Design, develop, and optimize batch and real-time data pipelines using Auto Loader, Structured Streaming, Delta Live Tables, and Databricks Workflows
  .
• Establish and enforce data governance, security, lineage, and quality frameworks using Unity Catalog and industry best practices.
• Collaborate with business stakeholders, product owners, engineering teams, and executive leadership to align technical solutions with strategic business objectives.
• Lead architecture reviews, solution design workshops, and technical governance processes across client engagements.
• Drive the adoption of AI-ready data architectures by developing model-ready data assets, vector-enabled pipelines, and scalable retrieval frameworks.
• Design and implement production-grade AI/ML solutions using Python, PyTorch, and Databricks AI capabilities
  .
• Define AI governance standards, security guardrails, prompt safety controls, and evaluation frameworks to support responsible AI deployment.
• Provide technical leadership, mentorship, and oversight to engineering teams while ensuring solution quality, scalability, performance, and operational excellence.
• Own end-to-end solution delivery, including architecture, implementation oversight, risk management, stakeholder communication, and successful production rollout.

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 10+ years of experience in data architecture, data engineering, cloud platforms, or enterprise technology consulting.
• 5+ years of hands‑on experience with Databricks
  , including Delta Lake, Unity Catalog, Delta Live Tables, and Structured Streaming.
• Strong expertise designing and implementing enterprise‑scale Lakehouse architectures and modern data platforms.
• Proven experience leading data modernization, migration, and digital transformation initiatives.
• Hands‑on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
• Strong programming skills in Python and experience developing AI/ML solutions using frameworks such as Py Torch .
• Experience building scalable data pipelines, data integration solutions, and analytics platforms supporting large‑scale workloads.
• Deep understanding of data governance, metadata management, data quality, security, compliance, and privacy best practices.
• Experience with AI/GenAI architectures, vector databases, retrieval‑augmented generation…