Databricks Solution Architect (Azure & AWS)

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We are looking for a highly skilled Databricks Solution Architect to lead the design and implementation of scalable, high-performance data and AI solutions on the Databricks platform across Microsoft Azure and Amazon Web Services (AWS).
As a Solution Architect, you will act as the trusted advisor to clients and internal stakeholders, translating complex business requirements into robust Databricks architectures while ensuring best practices in data engineering, data science, machine learning, and analytics.
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DUTIES AND RESPONSIBILITIES

  • Design end-to-end Databricks solutions on Azure Databricks and AWS Databricks (multi-cloud capable)
  • Lead technical workshops, architecture reviews, and proof-of-concept projects
  • Architect scalable data lakes, lakehouse platforms, ETL/ELT pipelines, and real-time streaming solutions using Databricks
  • Integrate Databricks with key cloud services:
    • Azure: Azure Data Factory, Synapse, ADLS Gen2, Key Vault, Azure Active Directory, Purview
    • AWS: S3, Glue, IAM, Redshift, Kinesis, Lake Formation
  • Optimize performance, cost, security, and governance of Databricks workloads
  • Provide technical leadership and mentoring to data engineering teams
  • Develop reference architectures, best practices, and reusable solution patterns
  • Support pre-sales activities including solution design, scoping, and effort estimation
  • Ensure solutions comply with security, compliance, and data governance standards
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QUALIFICATIONS

Education

  • Minimum 3 years of hands-on experience with Databricks (including Unity Catalog, Delta Lake, Databricks SQL, Workflows, and Jobs)
  • Strong experience designing and implementing solutions on both Microsoft Azure and AWS
  • Deep knowledge of cloud data platforms, lakehouse architecture, Spark, PySpark, and SQL
  • Proven track record in architecting production-grade data and AI/ML solutions
  • Excellent communication and stakeholder management skills
  • Ability to travel occasionally for client workshops (if applic
  • Minimum 3 years of hands-on experience with Databricks (including Unity Catalog, Delta Lake, Databricks SQL, Workflows, and Jobs)
  • Strong experience designing and implementing solutions on both Microsoft Azure and AWS
  • Deep knowledge of cloud data platforms, lakehouse architecture, Spark, PySpark, and SQL
  • Proven track record in architecting production-grade data and AI/ML solutions
  • Excellent communication and stakeholder management skills
  • able)

Certification

  • Databricks Certified Data Engineer Professional
  • Databricks Certified Machine Learning Professional
  • Databricks Certified Associate Solution Architect
  • Cloud Solutions Architect Certification (one of the following)
    • Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
    • AWS Certified Solutions Architect – Professional
  • Experience with advanced Databricks features (Delta Live Tables, Feature Store, Model Serving, Mosaic AI)
  • Background in large-scale data migration or modernization projects
  • Knowledge of Terraform, Infrastructure as Code (IaC), CI/CD for Databricks
  • Familiarity with MLOps practices

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