Former Databricks Employee (Non-Negotiable Requirement)12+ Years of IT Experience5+ Years of Databricks Architecture ExperienceStrong Lakehouse Architecture ExpertiseHands-on Spark/PySpark ExperienceData Governance & Security ExpertiseStakeholder Management and Leadership ExperiencePreferredBFSI Domain ExperienceDatabricks TechnologiesUnity CatalogData WarehousingORDevOps & AutomationData Governance & SecurityUnity CatalogApache RangerData Quality Frameworks________________________________________Domain Experience (Preferred)Banking & Financial Services (BFSI)Regulatory Reporting and Compliance________________________________________EducationBachelor's Degree in Computer Science, Engineering, Information Systems, or related field.________________________________________Certifications (Preferred)Databricks Certified Data Engineer ProfessionalAzure Solutions Architect ExpertRoles and

Responsibilities:
Architecture & StrategyDesign and implement enterprise-scale Databricks Lakehouse platforms.
Define end-to-end data architecture for batch, streaming, and real-time analytics solutions.
Develop cloud-native data platform strategies aligned with business objectives.
Establish architectural standards, governance frameworks, and best practices.
Lead modernization initiatives involving legacy data warehouse migration to Databricks.
Design scalable ETL/ELT pipelines using Databricks, Apache Spark, and Client Lake.
Build medallion architecture (Bronze, Silver, Gold layers) for enterprise data platforms.
Integrate data from multiple sources including databases, APIs, SaaS platforms, and streaming systems.




Implement data quality, lineage, observability, and monitoring frameworks.
Optimize data ingestion and transformation processes for performance and scalability.
Architect Databricks solutions on Azure, AWS, or Client Cloud Platform.
Design secure networking, storage, identity management, and access controls.
Optimize platform usage and cloud costs through governance and monitoring.
Lead Databricks workspace design and multi-environment deployment strategies.
AI, ML & Advanced AnalyticsArchitect Databricks solutions supporting Machine Learning and Generative AI workloads.
Enable enterprise AI capabilities leveraging Databricks Mosaic AI and GenAI frameworks.
Collaborate with Data Scientists and AI teams to operationalize ML models.
Establish MLOps best practices and governance standards.
Security & GovernanceImplement Unity Catalog for enterprise-wide governance.
Define data security controls including RBAC, ABAC, encryption, and access management.
Ensure compliance with industry standards including SOX, PCI-DSS, HIPAA, GDPR, and BFSI regulatory requirements.
Establish data governance, metadata management, and audit frameworks.
Leadership & Stakeholder ManagementAct as the primary Databricks subject matter expert.
Engage with executive stakeholders to define data transformation roadmaps.
Conduct architecture reviews and provide technical leadership.
Mentor data engineers, platform engineers, and architects.
Collaborate with business, infrastructure, security, and application teams.
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📌 Databrick Architect (México)
🏢 Pyramid Consulting
📍 México