Solution Architect (Data & AI)

As a Solution Architect within the Data & AI Core Data Lakehouse (CDL) Platform team, you will be the technical visionary for how data is organized, discovered, and governed at scale. You will architect an Active Metadata ecosystem, leveraging the Databricks Lakehouse, including Unity Catalog, Serverless, SQL Warehouses, and Genie.

Your goal is to ensure the global data estate is a searchable, interconnected, and highly governed asset that empowers both human users and AI agents.

The Role

In this Solution Architect position, you will own the end-to-end architecture for Data Discoverability and Metadata strategy. You will bridge high-level enterprise architecture and hands-on engineering, ensuring the platform remains scalable, secure, and at the forefront of the industry.

Key Responsibilities

• Architect the Metadata Strategy: Define and lead the evolution of the Active Metadata framework within the Data Lakehouse platform.
• Enhance Data Discoverability: Design and implement patterns that make data easily searchable and understandable across the enterprise, using tools such as Databricks Genie and AI-driven documentation.
• Standardize Data Governance: Establish best practices for Unity Catalog implementation, including tagging, lineage tracking, and row- and column-level security at a global scale.
• Ecosystem Integration: Architect how metadata integrates with external catalogs, BI tools, and downstream AI applications to create a unified data fabric.
• Drive Innovation: Evaluate and implement emerging Databricks features, including Serverless, System Tables, and Lakehouse Monitoring, to automate metadata collection and operational excellence.
• Technical Leadership: Act as a subject matter expert and mentor to engineering teams, providing architectural oversight and hands-on guidance on complex implementations.

Job Qualifications

• Platform Expertise: Hands-on experience with the Databricks ecosystem. Proficiency in Unity Catalog is required.
• Metadata Mastery: Experience designing metadata-driven architectures and understanding Active Metadata concepts, such as metadata triggering workflows, security policies, or automated quality checks.
• Architectural Experience: Previous experience as a Solution Architect or Data Engineer in an enterprise Data Lake or Lakehouse environment.
• Technical Breadth: Strong understanding of SQL, Python, and Spark. Experience with API-based integrations for metadata exchange is a plus.
• Leadership & Influence: Ability to influence technology decisions across multiple teams and stakeholders, translating complex technical concepts into business outcomes.

What we offer

• Project ownership and autonomy to deliver change and results from day one.
• Dynamic and encouraging work environment that values initiative, agility, and work/life balance.
• Continuous mentoring, coaching, and corporate and functional training.
• Industry certifications, including ITIL, DevOps, and MS portfolio certifications.
• Additional benefits program, including private health care, sport cards, in-office fitness center, stock options, saving plans, lunch subsidy, regular salary increases, possible promotions, flexible work arrangements, mentoring programs, and training.
• Exposure to global, multi-functional IT and Product Supply organizations and services across locations and continents.
• Hybrid work model: work from home two days a week and work from the office to support teamwork and communication.
• Equal opportunity workplace that values diversity, inclusion, and reasonable accommodation for individuals with disabilities during the application and interview process.
• Employment is exclusively offered under a full-time employment contract. Apply only if you agree to these conditions.