Architect, Tendo Data and Analytics

One of healthcare's biggest challenges is bringing together large amounts of highly complex, highly disparate data and data sources in a way that is usable by patients, clinicians, and caregivers. While the challenge is big, the potential impact on individual lives is equally immense. At Tendo, we are working hard to connect the dots in healthcare and create frictionless experiences that result in better healthcare visibility and awareness for all. This role is a senior-level architect and visionary who will lead Tendo's data and analytics approach. This approach will focus on creating scalable data pipelines, seamless data integration, real-time data enablement, and extensibility. Through this framework, our engineers can translate product requirements into product outcomes with ease and speed. The ideal candidate will be an expert data modeler, have a strong understanding of cloud-native, event-driven architecture, and be excited about enabling autonomous teams with autonomous services. In addition, experience with managing healthcare data is preferable.

About Tendo

Make an impactâjoin our team!

Weâre a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbesâ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job Location

Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

Responsibilities

Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.

Define overall data strategy and architecture for Tendoâs data management framework.

Prepare and design conceptual and logical subject area data models and implementation-level details.

Implement data requirements, principles, models, and designs for platform, application, and analytics architecture.

Work with our Platform team to design and implement a structure and tooling to support a logical data model.

Provide data architecture leadership, mentoring, and coaching to other product and engineering team members.

Discover opportunities to improve functional performance through product solution metrics and capabilities.

Lead solution evaluation processes related to master data management, unstructured data, business intelligence, content management, interoperability, data integration, and related information.

Requirements

Ability to model data entities, including cardinality of relationships and where to use inheritance and/or composition.

Expertise in Healthcare Data Standards including: 1.) HL7v2, FHIR, and Reimbursement Data Models (UB04, APCD, or similar). 2.) Leveraging and Versioning Standard Medical Terminologies including: 1.) Labs (LOINC). 2.) Problems and Diagnosis (ICD-10CM and SNOMED). 3.) Drugs (e.g., RxNorm and NDC). 4.) Procedures (e.g., HCPCS, CPT, and ICD-10PCS).

Foundational experience in implementing technical and business frameworks supporting data lineage, auditing, and results explainability.

Experience developing organizational strategies for data re-use and interoperability across use cases and representations such as FAIR Data Principles, Selective Curation, or Medallion Architectures, etc.

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent professional experience.

10+ years of experience as an architect or tech lead supporting large-scale, web-based applications or consumer-focused SaaS products.

Hands-on experience leading and managing architecture initiatives for SaaS, multi-tenant software solutions.

Fluent with both large-scale batch processing and event-driven (streaming) architectures.

Expertise and experience performing EDA (exploratory data analysis) and communicating findings to both technical and non-technical audiences.

Prior experience with data migration, versioning of services, and upgrades.

Nice to Have

Experience with data pipelining from APIs as well as persistent storage (e.g., S3 or Blob).

Applied experience with Python and Spark-based data processing and manipulation (e.g., Parquet to Dataframe via PySpark and SparkSQL).

Understanding of Cloud-native architecture principles.

Experience with and applied knowledge of US-based value-based care and quality models such as ACO partnerships, Bundled Payments, CMS Star and Vizient AQA, and AAC.

Base Salary Range

$204,000-$276,000

This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.

Benefits

For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (âBreatheâ).

Additional Information

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

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Architect, Tendo Data and Analytics

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