Former Databricks Employee (Non-Negotiable Requirement)

12+ Years of IT Experience

5+ Years of Databricks Architecture Experience

Strong Lakehouse Architecture Expertise

Hands-on Spark/PySpark Experience

Data Governance & Security Expertise

Stakeholder Management and Leadership Experience

Preferred
BFSI Domain Experience

Databricks Technologies

Unity Catalog

Data Warehousing

OR

DevOps & Automation
Data Governance & Security

Unity Catalog

Apache Ranger

Data Quality Frameworks

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Domain Experience (Preferred)

Banking & Financial Services (BFSI)

Regulatory Reporting and Compliance

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Education

Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.

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Certifications (Preferred)

Databricks Certified Data Engineer Professional

Azure Solutions Architect Expert

Roles and Responsibilities:
Architecture & Strategy

Design 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 Analytics

Architect 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 & Governance

Implement 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 Management

Act 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 (Heroica Puebla de Zaragoza)
🏢 Pyramid Consulting
📍 Heroica Puebla de Zaragoza