revecore - Senior Director, Data Architecture
Requirements
• 10+ years in data architecture, data management, or enterprise data roles, including direct, hands-on experience building or scaling data catalogs, data dictionaries, taxonomies, or ontologies across a complex organization. • Deep hands-on platform and tooling experience — Snowflake (or a comparable cloud data warehouse) including data modeling, schema design, and architecture tradeoffs, plus direct experience with data cataloging/metadata management tools (e.g., Snowflake Horizon, Collibra, Alation, Atlan, DataHub, Purview) and, integration of legacy data sources (e.g. RDBMS) lineage tooling and practices. • Proven ability to build enterprise-wide agreement through influence — a track record of aligning functions with genuinely different vocabularies and incentives (Finance, Data Science, Operations, Customer Success, Engineering), backed by strong written and verbal communication skills and the ability to facilitate consensus among stakeholders who don't naturally agree. • Healthcare domain experience — ideally within the healthcare revenue cycle, payer/provider, or patient financial services lifecycle, with comfort in clinical, claims, or billing data concepts. • Strong technical foundations as a senior IC architect — solid data modeling fundamentals (dimensional modeling, entity-relationship modeling, semantic layers), familiarity with modern data stack components (ELT/ETL, orchestration, BI/semantic tools like dbt, Looker, Power BI, or Tableau), and a track record operating hands-on at a senior individual-contributor level while also representing data architecture in leadership forums. • Experience with data governance frameworks (e.g., DAMA-DMBOK) and formal data stewardship programs. • Familiarity with healthcare data standards (e.g., X12, HL7/FHIR, CPT/ICD coding) and regulatory considerations (HIPAA) as they relate to data classification and access. • Experience introducing or scaling ontology/knowledge-graph approaches to support AI and data science initiatives. • What Success Looks Like • Common definitions, one source of truth — A published, adopted enterprise data dictionary and ontology, with core business entities and metrics defined once and referenced consistently across Finance, Customer Success, Data Science, Operations, and Engineering. • A functioning data catalog — A live data catalog covering the highest-value Snowflake datasets, with owners, definitions, and lineage documented and kept current. • Traceable lineage — Documented lineage for key reporting metrics from source system to consumption, reducing time spent reconciling conflicting numbers across teams. • Aligned reporting — A reduced number of duplicate or conflicting reports and metric definitions, with embedded analytics teams operating from shared, certified data models. • Durable governance — A governance structure (council, stewardship roles, or equivalent) that stakeholders across the business recognize and actively participate in. • A quiet, distraction-free environment to work from in your home. • A secure internet connection is required. • Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads. • The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive. • Must reside in the United States within one of the states listed below: • Alabama, Arkansas, Delaware, Florida, Georgia, Illinois, Iowa, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Michigan, Minnesota, Missouri, Mississippi, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota (CST Time Zone), Tennessee, Texas (CST Time Zone), Vermont, Virginia, Wisconsin, and West Virginia
Responsibilities
• Establish enterprise data standards — Design and drive adoption of an enterprise data standards program covering naming conventions, business/technical metadata, data quality rules, and reporting definitions across the Snowflake data warehouse. • Build and own the data catalog — Select, implement, or extend a data catalog that makes data discoverable and trustworthy, with clear ownership, definitions, sensitivity classifications, and usage guidance for every core data asset. • Define a common language, grounded in healthcare context — Develop a shared ontology and enterprise data dictionary that reconciles how Customer Success, Finance, Data Science, Engineering, and Operations each define core entities and metrics (e.g., "claim," "account," "client," "revenue recognized"), applying working knowledge of healthcare revenue cycle, claims, patient financial, and provider/payer data to ensure definitions reflect the realities of the business. • Establish lineage and reporting standards — Define and implement data lineage standards so any consumer can trace a metric or field from source to consumption, while partnering with embedded analytics teams in Data Science, Operations, and Finance to align reporting definitions and move toward a single set of certified reports and semantic models. • Architect hands-on — Serve as the enterprise data architect for how data is modeled, organized, and governed within Snowflake, working directly alongside data engineering on schema design, domain modeling, and platform architecture decisions. • Drive cross-functional alignment and sustainable governance — Act as the connective tissue between technical teams and business stakeholders, translating between business concepts and data models, and establishing decision rights, change-management processes, and governance forums (e.g., a data council) so standards remain living, adopted practices.
Benefits
• (If you're an active employee, please visit the Internal Career Site to apply.) • No, I am not an Active Employee • Yes, I am an Active Employee • Revecore conducts video interviews as part of our hiring process. These interviews will be recorded and transcribed for internal business purposes, including evaluation, training, documentation, and identity verification. • will be • Please indicate your preference below: • I consent to Revecore recording and transcribing my interviews as part of the hiring process. I understand that these recordings will be used solely for internal purposes and managed in accordance with Revecore’s data privacy and confidentiality policies. • I do not consent to my interviews being recorded and transcribed. I request that alternative arrangements be made where possible. • Please confirm the following: • I certify that all information provided in my employment application, resume, and any supporting documents is true, complete, and accurate to the best of my knowledge. I authorize Revecore to verify the information provided, including contacting references, former employers, and educational institutions as permitted by law. I understand that any false statements, omissions, or misrepresentations may result in the rejection of my application or termination of employment. I understand that submitting an application does not guarantee employment and that any offer of employment may be contingent upon successful completion of required pre-employment screenings and signing applicable employment documents. • By selecting "Yes," I acknowledge that my electronic confirmation has the same legal effect as my handwritten signature. • Yes, I acknowledge and agree to the statements above. • No, I do not acknowledge or agree to the statements above. • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the Black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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