Sr. Data Solutions Architect

Commence•Baltimore, MD

1d•$130,000 - $185,000•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. The Sr. Data Solutions Architect should have a strong data engineering and architecture background to design and guide the delivery of scalable, secure, and high-performance data-driven solutions. This role sits within the Technology organization but is embedded in the Data Team, playing a central role in shaping solution designs across our products, platforms, and enterprise data assets. The ideal candidate will have deep experience architecting modern data platforms, driving cross-functional collaboration across product, engineering, and client-facing teams, and serving as the technical lead on proposals and delivery efforts. This is a high-impact individual contributor role - with a focus on designing and implemented scalable solutions around data - perfect for someone who blends architectural rigor with a builder’s mindset.

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.