Data & AI Solution Architect (Databricks)

Procter & Gamble
Warsaw
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Technical leadership","Mentoring","Stakeholder management","Influencing decisions","Translating technical concepts"]

Own end-to-end architecture for data discoverability and metadata strategy within the Data & AI Core Data Lakehouse platform team. Define and evolve Active Metadata, design patterns for enterprise-wide search and understanding, and standardize governance using Unity Catalog with tagging, lineage, and row/column-level security. Integrate metadata with external catalogs, BI tools, and AI applications, and evaluate Databricks innovations like Serverless, System Tables, and Lakehouse Monitoring while mentoring engineering teams.

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FursaFursa
Procter & Gamble
Procter & Gamble
1 month ago

Data & AI Solution Architect (Databricks)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 days agoStatus: Live

Job Summary

Own end-to-end architecture for data discoverability and metadata strategy within the Data & AI Core Data Lakehouse platform team. Define and evolve Active Metadata, design patterns for enterprise-wide search and understanding, and standardize governance using Unity Catalog with tagging, lineage, and row/column-level security. Integrate metadata with external catalogs, BI tools, and AI applications, and evaluate Databricks innovations like Serverless, System Tables, and Lakehouse Monitoring while mentoring engineering teams.
Location: Warsaw
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end architecture for data discoverability and metadata strategy in the Data Lakehouse platform.
  • •Define and lead the evolution of the Active Metadata framework within the platform.
  • •Design and implement enterprise patterns for data searchability and understanding using tools like Databricks Genie and AI-driven documentation.
  • •Standardize data governance with Unity Catalog practices including tagging, lineage tracking, and row/column-level security at global scale.
  • •Act as an SME to mentor engineering teams and evaluate emerging Databricks features to automate metadata collection and operational excellence.

Pay and Benefits

Perks:Health InsuranceEquitySaving PlansMeal AllowanceGym MembershipRemote Work

Key Requirements

  • •Hands-on experience with the Databricks ecosystem, including required proficiency in Unity Catalog.
  • •Experience designing metadata-driven architectures and understanding Active Metadata concepts (e.g., triggering workflows, security policies, automated quality checks).
  • •Previous experience as a Solution Architect or Data Engineer in an enterprise Data Lake/Lakehouse environment.
  • •Strong understanding of SQL, Python, and Spark; experience with API-based integrations for metadata exchange is a plus.
  • •Ability to influence technology decisions across multiple teams and stakeholders and translate technical concepts into business outcomes.
Skills:Technical leadershipMentoringStakeholder managementInfluencing decisionsTranslating technical concepts
Certifications:ITILDevOpsMS portfolio
Tech Stack:DatabricksUnity CatalogServerlessSQL WarehousesGenieSQLPythonSparkSystem TablesLakehouse MonitoringActive MetadataAPIRow/column level securityLineage tracking

Company Brief

Procter & Gamble
Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.
Industry: Consumer Goods
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cincinnati, United States
Founded: 1837
WebsiteLinkedIn