Sr. Data / Data Solutions Architect - Databricks

Senior Data Solutions Architect

Responsibilities

• Map business requirements to end-to-end data solution architectures
• Develop solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns
• Direct architecture design efforts, technical feasibility assessments, and solution reviews
• Design and maintain cloud data platforms and data modernization initiatives
• Lead migration and transformation initiatives involving Azure Databricks and Databricks Lakehouse
• Coordinate and mentor data engineering, analytics, cloud, and DevOps teams
• Ensure architectures meet scalability, performance, security, governance, and cost requirements

Requirements

• Senior-level IT experience (12-22 years) including leadership in data architecture, solution architecture, or data engineering
• Strong track record of creating production-ready data architectures with scalability and security in mind
• Hands-on exposure to Azure, AWS, or GCP for cloud-based data solutions
• Expert-level knowledge of Databricks, Apache Spark, and Delta Lake
• Advanced SQL skills and experience with modern data platforms
• Thorough understanding of batch and streaming approaches, ETL/ELT, data modeling, and data governance
• Outstanding communication and stakeholder management skills with a problem-solving mindset

Nice to have

• Hands-on ability with Python, Java, or Scala
• Knowledge of Informatica MDM, Celonis, or Azure Data Factory
• Prior work in cloud migration or data and AI platform programs