Databricks Architect (Azure Data Engineer (Lakehouse Architect)

QTech US, Inc
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Azure
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Data Integration
Data Security
Data Systems
Data Warehousing
DevOps
Distributed Data Store
Performance Tuning
Enterprise Data Management
Cloud Platform System
Data Ingestion
Azure
Information Technology
Data Management
Tools for Reporting
Cloud Migration
Databricks

Job description

  • Design and implement scalable Lakehouse architectures using Azure and Databricks.
  • Lead end-to-end solution architecture for enterprise data engineering initiatives.
  • Define data platform strategy, architecture standards, and best practices.
  • Architect and optimize data ingestion, transformation, and analytics pipelines.
  • Collaborate with business stakeholders, data engineers, and leadership teams to align technical solutions with business goals.
  • Provide technical leadership and architectural guidance for Azure-based data solutions.
  • Ensure data security, governance, performance, and scalability across the platform.
  • Drive modernization of legacy data warehouses into cloud-native Lakehouse environments.
  • Conduct architecture reviews, solution assessments, and technical design sessions.
  • Mentor development teams and establish implementation standards.

Requirements

  • We are seeking an experienced Databricks Solution Architect with strong hands-on expertise in designing and implementing Azure Lakehouse architectures.
  • The ideal candidate must have extensive experience in Azure Data Engineering, Databricks, and enterprise-scale data platform modernization initiatives.
  • This role requires a seasoned professional with a minimum of 14+ years of overall IT experience, including 10+ years of U.S. experience, capable of leading architecture, design, and implementation efforts for modern data platforms., * 14+ years of overall IT experience
  • 10+ years of U.S. experience (Mandatory)
  • Strong expertise in Azure Data Engineering
  • Extensive hands-on experience with Azure Cloud
  • Advanced experience with Databricks
  • Proven expertise in designing and implementing Lakehouse Architecture
  • Strong Solution Architecture and Enterprise Data Platform experience
  • Data Modeling and Data Integration expertise
  • Experience with scalable cloud-based data platforms
  • Strong understanding of data governance, security, and performance optimization

Preferred Qualifications:

  • Azure certifications related to Data Engineering or Solution Architecture
  • Experience with enterprise-scale cloud migration projects
  • Knowledge of modern analytics and reporting platforms
  • Experience working in large-scale distributed data environments
  • Familiarity with CI/CD and DevOps practices for data platforms

Soft Skills:

  • Excellent communication and stakeholder management skills
  • Strong analytical and problem-solving abilities
  • Ability to lead technical discussions and architecture reviews
  • Strong collaboration and mentoring capabilities
  • Ability to work independently and within cross-functional teams

Mandatory Skills:

  • Azure Data Engineer
  • Azure
  • Databricks
  • Lakehouse Architecture
  • Solution Architect
  • 14+ Years Overall Experience
  • 10+ Years U.S. Experience

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