Senior Solution Architect - Enterprise Data & Analytics

Employment Type:

Contract

Duration:

1 year

Preferred Location:

Prefer local to Buffalo or Wilmington office 4 days onsite, open to remote for the right person

Role Description:

The Solution Architect is responsible for designing and governing scalable, secure, and resilient data platform solutions that support modern data ecosystem. This role partners with product owners, engineers, and domain architects to translate business needs into end-to-end technical designs aligned with enterprise standards.

Working across platforms such as Snowflake, Databricks, and emerging architectures (e.g., Iceberg, event-driven and headless patterns), this role ensures solutions are consistent, reusable, and positioned for long-term scalability.

Primary Responsibilities

• Define end-to-end architecture across data ingestion, processing, storage, and consumption layers
• Work with Data Governance team to allow business access to enterprise data, while maintaining compliance with regulations and protecting our customers
• Translate business and technical requirements into scalable, secure solution designs
• Own architecture artifacts (e.g., Solution Architecture Documents) and ensure alignment with SDLC and enterprise standards
• Validate functional and non-functional requirements with stakeholders and incorporate them into solution design
• Partner across engineering, product, and domain teams (data, cyber, infrastructure) to drive aligned solutions
• Guide adoption of modern data patterns, including medallion architectures, API-based integrations, and event-driven systems (e.g., Kafka)
• Identify architectural risks and ensure solutions meet performance, resiliency, and compliance expectations

Requirements

• Cloud data platforms (Snowflake, Databricks)
• Integration approaches (APIs, event streaming, batch pipelines)
• CI/CD, automation, and cloud infrastructure (Azure preferred)

Qualifications

• 5+ years in solution architecture or senior engineering roles
• Experience designing modern data platforms and distributed systems
• Strong understanding of architecture patterns, including data lakehouse, event-driven, and API-based designs
• Ability to work across teams and translate complex business needs into technical solutions