Databricks Architect

Job summary

Con*** is seeking an experienced Databricks Architect to lead the design, architecture, and delivery of enterprise data platforms that power AI and Business Intelligence solutions. As the technical authority for the Databricks Lakehouse Platform, you will own the end-to-end data architecture—from data discovery and ingestion through governed, secure, and production-ready data products.

Qualifications

• Con*** is seeking an experienced Databricks Architect to lead the design, architecture, and delivery of enterprise data platforms that power AI and Business Intelligence solutions.
• into secure, scalable data solutions that support AI, BI, and natural language query experiences.
• Establish standards for data quality, governance, lineage, observability, and reusable architecture patterns.
• Facilitate data discovery sessions with business stakeholders to identify, assess, and validate enterprise data sources.
• Evaluate data readiness, identify gaps, and develop remediation plans in partnership with data engineering and business teams.
• Architect the Databricks platform, including workspace strategy, compute, storage, networking, CI/CD, and infrastructure-as-code deployment practices.
• Optimize platform performance, scalability, and cost across Databricks clusters, SQL Warehouses, and serverless environments.
• Own platform security architecture, including identity integration, secrets management, network security, and access controls.
• Design and implement Unity Catalog governance, metadata management, lineage, row- and column-level security, dynamic data masking, and attribute-based access controls.
• Develop enterprise strategies for PII classification, masking, and protection across AI and conversational analytics solutions.
• Partner with Security, Privacy, and Compliance teams to ensure regulatory and audit
• are met.

Responsibilities

• As the technical authority for the Databricks Lakehouse Platform, you will own the end-to-end data architecture—from data discovery and ingestion through governed, secure, and production-ready data products.
• Lead the architecture, design, and delivery of enterprise data platforms supporting AI, analytics, and business intelligence initiatives.
• Design scalable data models, pipelines, and Lakehouse architectures using Databricks, Delta Lake, and Medallion Architecture.
• Translate business

Skills

Certifications

Degrees

Industry

Company size

Security clearance