Sr. Data Solutions Architect

Commence • Baltimore, MD

3d • Remote

About The Position

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care. With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 8–10+ years of experience in solution architecture, data engineering, or platform engineering roles.
• Proven ability to architect and lead the implementation of modern data platforms using technologies such as AWS (S3, Glue, Lambda, RDS, Redshift, EMR), Databricks, and Spark.
• Familiarity with structured and unstructured data patterns, including streaming, batch processing, and real-time analytics.
• Strong understanding of data modeling, data governance, and metadata management.
• Experience designing secure, scalable APIs and data services to support internal and external consumers.
• Fluency in architecture documentation and tools (e.g., Lucidchart, Draw.io, sequence/context/data flow diagrams).
• Experience working with cross-functional teams, translating technical concepts for non-technical stakeholders.
• Demonstrated ability to lead solutioning efforts in a pre-sales or discovery context as needed.
• Strong working knowledge of compliance and security practices for handling sensitive data, especially in healthcare or government domains.

Responsibilities

• Architect and lead the delivery of end-to-end data solutions across cloud-native environments (primarily AWS and Databricks), including ingestion, processing, storage, access, and governance.
• Define and maintain scalable architecture patterns and reference implementations for common data workflows and platform integrations.
• Collaborate with product and delivery teams to translate business needs into scalable, sustainable, and secure data architectures.
• Produce and maintain high-quality documentation, including solution diagrams, data flow models, and design specifications.
• Serve as the technical lead during project initiation and discovery - shaping architectures, estimating effort, identifying risks, and guiding implementation strategy.
• Support Business Development by designing data platform solutions for proposals, RFPs, and client engagements.
• Ensure alignment of solution architecture with enterprise data strategy, security standards, and compliance frameworks (HIPAA, FedRAMP, NIST, etc.).
• Partner with Data Engineers, Analytics Engineers, and Software Engineers to guide implementation and ensure architectural consistency.
• Conduct architecture reviews and technical validation for data-intensive projects and platforms.
• Provide mentorship and thought leadership across the Data Team, helping to mature our engineering and architectural practices.
• Other duties as assigned.

Benefits

• The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior