[Hiring] Senior Data Architect @Accuity

Role Description

The Senior Data Architect serves as Accuity's senior technical authority for translating enterprise data strategy into domain architectures, reusable data product patterns, logical data models, governance controls, and actionable delivery roadmaps. Reporting to the Vice President, Data Architecture, this is a senior individual-contributor role with technical leadership responsibilities across Accuity's evolving data environment.

• Independently leads complex architecture and modeling decisions across domains.
• Partners with business owners, Data Architects, engineering and Azure teams, security and governance teams, and external providers.
• Provides data product leadership through requirements discovery, roadmaps, recommended priorities, and acceptance criteria.
• Agrees delivery sequencing with the Senior Manager, Data Operations.
• Leads cross-domain architecture, shared models, and reusable design standards.

Qualifications

• Bachelor's degree in computer science, information systems, data management, engineering, or a related field preferred.
• Equivalent professional experience, technical training, or a combination of education and relevant experience may be considered.
• Relevant Azure, Databricks, architecture, data management, or data governance certification preferred.
• 8+ years of progressive experience in data architecture, data warehousing, business intelligence, analytics engineering, or enterprise data delivery.
• 3+ years leading data architecture, senior data design, or comparable technical initiatives with independent decision-making responsibility.
• Deep experience with conceptual, logical, dimensional, and analytical data modeling.
• Experience translating business outcomes into domain architectures, data product requirements, acceptance criteria, and delivery roadmaps.
• Experience resolving data definitions, dependencies, and design conflicts across multiple business domains.
• Demonstrated production architecture and modernization experience with Azure Databricks, Delta Lake, medallion architecture, and Unity Catalog.
• Experience with data governance, metadata, lineage, quality, access controls, privacy, retention, and lifecycle management.
• Experience influencing senior business and technology stakeholders.
• Strong SQL and practical implementation-review skills.
• Experience reviewing work delivered by consultants, managed service providers, or other external technology partners.
• Experience in a regulated or security-sensitive environment, healthcare preferred.

Requirements

• Translate the enterprise data strategy into domain architectures, standards, roadmaps, and implementable designs.
• Own data architecture across assigned business domains and data products.
• Lead development of reusable architecture standards and integration patterns.
• Maintain architecture diagrams, shared models, standards, data contracts, decision records, exceptions, and technical debt.
• Identify consumers, use cases, and expected business outcomes for assigned data products.
• Establish cross-domain product roadmaps and recommend modernization priorities.
• Lead discovery and decision sessions with business stakeholders.
• Define requirements and acceptance criteria for quality, freshness, availability, reconciliation, retention, recovery, and performance.
• Coordinate business acceptance and recommend when legacy data solutions can be retired.
• Lead conceptual and logical modeling across domains.
• Define and document business grain, keys, relationships, facts, dimensions, and historical behavior.
• Establish API, persisted dataset, file exchange, and integration patterns.
• Guide Bronze, Silver, and Gold designs.
• Define data contracts for datasets and interfaces.
• Partner with Data Engineers on model validation.
• Prevent legacy database structures from being copied into the new platform.
• Lead definition of Unity Catalog architecture standards.
• Ensure important data products have named business owners and documented definitions.
• Partner with security, governance, and business data owners.
• Promote group-based ownership and access.
• Support business glossaries, metadata standards, lineage requirements, and periodic governance reviews.
• Embed governance into product design and delivery.
• Work directly with the Senior Data Engineer and Data Engineers throughout design and delivery.
• Lead risk-based architecture and model reviews.
• Use SQL analysis and targeted prototypes with engineers to validate designs.
• Guide migration architecture and sequencing across domains.
• Partner with the Senior Azure Platform Engineer on Azure application and data services.
• Translate architectural standards into clear requirements for the managed service provider.
• Review and approve MSP architecture and data product designs.
• Identify unnecessary complexity and vendor dependency.
• Review architectural acceptance evidence and confirm knowledge transfer.
• Mentor Data Architects and engineers.
• Help SQL Server and SSIS professionals transition to modern data engineering.
• Establish repeatable reviews, templates, examples, and reference designs.
• Serve as a senior technical advisor to the Vice President, Data Architecture.
• Work with business leaders on shared data capabilities.
• Support the VP of Data Architecture.
• Facilitate and document business decisions.
• Partner with Data Operations on implementation and production operation.
• Perform additional responsibilities as needed.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible work hours and remote work options.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Professional development and training opportunities.

Company Description

Accuity partners with hospitals and health systems through a technology-enabled, physician-led model that improves clinical documentation integrity, coding accuracy, reimbursement optimization, and quality outcomes.