Infinitive
Lead Data Architect
Infinitive, Ashburn, Virginia, United States, 22011
*Candidates must be local to the Washington D.C. metro area and possess work authorization which does not require sponsorship by the employer for a visa.
About Infinitive:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. . We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 6 times most recently in 2023. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”
The Lead Data Architect will develop and align target data models with business and finance unit priorities, working across teams to implement the overall data strategy, and promoting the use of semantic technologies and data governance.
Key Responsibilities:
Data Modeling & Strategy: Define target state data models, develop data governance standards, and align with finance business priorities.
Stakeholder Engagement: Build relationships with various data and technology teams to align the data strategy with enterprise goals.
Data Governance: Own design decisions with the Chief Architect, develop modeling and protection standards, and document key modeling principles.
Roadmap: Create and prioritize a long-term roadmap (12-18 months) focused on business outcomes, aligning with cross-functional teams.
KPIs and Impact Analysis: Define and track KPIs for ontology and data modeling, refining strategies based on data and adjusting to organizational impacts.
Mentorship: Develop and mentor team members on ontology and data modeling to scale efforts across the Finance organization.
Integration & Standardization: Harmonize data with enterprise semantics, follow W3C standards, and maintain awareness of industry trends.
Basic Qualifications:
Bachelor’s degree.
6+ years of experience in data engineering and metadata (ontology, semantics, taxonomy).
5+ years in data architecture.
2+ years of experience with AWS applications.
Deep experience with W3C standards (JSON, XML, RDF, RDFS, OWL, SKOS).
Strong SQL skills.
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About Infinitive:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. . We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 6 times most recently in 2023. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”
The Lead Data Architect will develop and align target data models with business and finance unit priorities, working across teams to implement the overall data strategy, and promoting the use of semantic technologies and data governance.
Key Responsibilities:
Data Modeling & Strategy: Define target state data models, develop data governance standards, and align with finance business priorities.
Stakeholder Engagement: Build relationships with various data and technology teams to align the data strategy with enterprise goals.
Data Governance: Own design decisions with the Chief Architect, develop modeling and protection standards, and document key modeling principles.
Roadmap: Create and prioritize a long-term roadmap (12-18 months) focused on business outcomes, aligning with cross-functional teams.
KPIs and Impact Analysis: Define and track KPIs for ontology and data modeling, refining strategies based on data and adjusting to organizational impacts.
Mentorship: Develop and mentor team members on ontology and data modeling to scale efforts across the Finance organization.
Integration & Standardization: Harmonize data with enterprise semantics, follow W3C standards, and maintain awareness of industry trends.
Basic Qualifications:
Bachelor’s degree.
6+ years of experience in data engineering and metadata (ontology, semantics, taxonomy).
5+ years in data architecture.
2+ years of experience with AWS applications.
Deep experience with W3C standards (JSON, XML, RDF, RDFS, OWL, SKOS).
Strong SQL skills.
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