We are seeking a Senior Data Solutions Architect - Databricks to shape scalable, secure data platforms for enterprise analytics and AI programs. You will translate business needs into modern lakehouse and warehouse designs in the cloud, lead architecture reviews, and guide cross-functional delivery while ensuring governance and cost controls.

Responsibilities

Translate business requirements into end-to-end data solution architectures
Design solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns
Lead architecture design, technical feasibility assessments, and solution reviews
Design and support cloud data platforms and data modernization initiatives
Drive migration and transformation projects involving Azure Databricks and Databricks Lakehouse
Guide data engineering, analytics, cloud, and DevOps teams
Ensure solutions meet scalability, performance, security, governance, and cost requirements

Requirements

Extensive IT leadership experience (12-22 years) spanning data architecture, solution architecture, or data engineering
Proven ability to design production-ready, scalable data architectures for enterprise use cases
Hands-on experience with Azure, AWS, or GCP cloud services and data platforms
Deep knowledge of Databricks, Apache Spark, and Delta Lake in real-world implementations
Strong proficiency in SQL and modern data platforms
Solid understanding of batch and streaming patterns, ETL/ELT, data modeling, and data governance
Excellent communication skills with strong stakeholder management and structured problem-solving

Nice to have

Ability to work with Python, Java, or Scala
Familiarity with Informatica MDM, Celonis, or Azure Data Factory
Background supporting cloud migration or data and AI platforms

Sr. Data / Data Solutions Architect - Databricks