Data Solution Architect (Data Platforms)

Job description:

We are looking for a senior Solution Architect to define and govern the technical architecture for a large-scale Teradata migration to Snowflake and Databricks on Azure. This role will set the blueprint, frameworks, and standards for data, application, and security architecture across the program.

Key Responsibilities:

• Define end-to-end architecture and migration strategy from Teradata to Snowflake/Databricks on Azure.
• Design medallion architecture patterns and data platform frameworks for batch and streaming workloads.
• Establish data management, governance, and security patterns aligned to financial services regulations.
• Architect CDC and streaming solutions for enterprise data integration.
• Provide architectural guidance on application and integration design that consumes platform data.
• Lead design reviews, document architectural decisions, and maintain technical blueprints.
• Evaluate and recommend use of Snowflake vs. Databricks for different workloads.
• Collaborate with InfoSec, compliance, and risk teams to ensure cloud security and regulatory alignment.
• Mentor Solution Engineers and guide implementation teams on patterns and best practices.
• Partner with product and business stakeholders to balance architectural integrity with delivery timelines.

Required Skills & Experience:

• 10 12+ years of experience in solution/enterprise architecture roles.
• Deep knowledge of Snowflake and Databricks architectures and reference patterns.
• Strong understanding of Teradata and/or PowerCenter and migration considerations to cloud.
• Experience designing medallion architectures, data platforms, and data management frameworks.
• Solid background in application architecture, OO design, and integration patterns.
• Expertise in cloud security architecture and controls on Azure.
• Familiarity with financial services compliance and regulatory expectations.
• Hands-on background with Python, PySpark, SQL, and data engineering concepts.
• Experience with cost optimization, capacity planning, and performance design in cloud environments.

Nice to Have:

• Experience with enterprise architecture frameworks (e.g., TOGAF) and blueprinting tools.
• Prior leadership in a large-scale data platform or warehouse modernization program.
• Experience designing frameworks reusable across multiple domains/teams.

Education:

• Bachelor s degree in Computer Science, Engineering, or related field; advanced degree or relevant certifications (cloud, data) preferred.

Key Competencies:

• Strategic thinking with ability to define and articulate a clear technical vision.
• Strong stakeholder management across technical and business teams.
• Excellent communication and documentation skills.
• Ability to balance long-term architecture with near-term delivery needs.