Senior Solution Architect

Senior Solution Architect

We are looking for a Data Architect with strong experience in Databricks, enterprise data modernization, and AI-led development to help clients establish a Databricks Data Intelligence Platform that unifies data, governance, analytics, and intelligent application enablement. In this role, you will lead scalable cloud data architecture, modernize legacy environments, embed intelligence into platform engineering, establish governance standards, and build trusted foundations for advanced analytics and intelligent data products.

Key Responsibilities

• Design modern lakehouse architectures on Databricks using Delta Lake, medallion patterns, and scalable data models.
• Lead technology consulting engagements and enterprise data modernization initiatives, define target-state architectures, and provide architectural leadership across transformation programs.
• Build and govern batch and streaming data pipelines using Auto Loader, Structured Streaming, and Delta Live Tables.
• Partner with client stakeholders to establish governance, security, lineage, and data quality controls using Unity Catalog and enterprise standards, aligning platform decisions to measurable business outcomes.
• Provide cross-functional leadership across engineering, architecture, and client teams, translating technical strategy into business value, prioritizing delivery against client objectives, and driving adoption of modern data and AI capabilities.
• Own service delivery responsibilities across client engagements by aligning architecture and execution to committed outcomes, managing delivery quality and governance, and ensuring solutions are implemented effectively from design through rollout.
• Drive AI-led development for the Databricks Data Intelligence Platform by building model-ready data foundations, metadata-rich architectures, vector-ready pipelines, and retrieval patterns that accelerate intelligent applications and modern data use cases.
• Lead production-grade AI implementations using Python and PyTorch to enable intelligent platform capabilities, secure deployment patterns, operational resilience, and scalable performance across modernization programs.
• Define and implement security guardrails, prompt safety controls, and evaluation/review frameworks to support responsible, measurable, and production-ready AI development on the Databricks Data Intelligence Platform across client engagements.

Skill Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 10+ years of experience in data architecture, data engineering, or enterprise data platform design.
• Hands-on expertise in Databricks, Spark/PySpark, SQL, Python, PyTorch, and cloud data platforms.
• Strong experience in data modernization, migration, governance, performance optimization, and enterprise architecture for client-facing delivery.
• Proven experience enabling AI-driven development, ML workflows, and model lifecycle management, including production implementations with security guardrails and evaluation/review frameworks.
• Excellent stakeholder communication and cross-functional leadership skills.

Other Requirements

• Master's degree or advanced certification in data, cloud, AI, or intelligent platform engineering disciplines.
• Experience with Azure Databricks and one or more major cloud platforms (AWS or GCP).
• Knowledge of vector databases, intelligent application patterns, platform governance, and frameworks for guardrails, response quality evaluation, and human review.
• Experience with CI/CD, Infrastructure as Code, observability, and DataOps/MLOps practices.

Maximum Salary (US): 240000 Minimum Salary (US): 164000