Enterprise Data Architect
We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management (MDM), Data Governance, Data Quality, Metadata & Cataloging, semantic/context layer engineering, and enterprise data architecture . This role combines strategic leadership with hands‑on technical expertise to ensure enterprise data is trusted, governed, discoverable, and ready for analytics, AI, and operational use.
The Enterprise Data Architect designs, governs, and evolves the enterprise-wide data architecture that powers analytics, AI, and operational workflows. You will define standards and reference architectures; guide data modeling and integration patterns; and influence platform decisions across the enterprise data hub/warehouse ecosystem, MDM, governance, and metadata capabilities.
JOB DUTIES
Enterprise Data Architecture Leadership
Define and maintain the enterprise data architecture strategy , reference models, and standards
Create and govern canonical data models, domain models, and integration patterns
Ensure architectural alignment across data engineering, analytics, MDM, governance, and application teams
Drive modernization toward cloud‑native, scalable, AI‑ready architectures
Define architecture guardrails for data security, privacy, and regulatory compliance in partnership with Security and Legal (e.g., access controls, classification, retention)
Data Modeling & Canonical Design
Lead design of conceptual, logical, and physical data models across domains
Establish enterprise‑wide modeling standards, naming conventions, and modeling patterns
Partner with MDM and governance teams to ensure consistency across master data, reference data, and operational data
Semantic / Context Layer Architecture
Architect and maintain the enterprise context layer (semantic layer) enabling consistent metrics, definitions, and reusable data entities
Define metric logic, dimensional models, and semantic relationships used across BI, AI, and operational systems
Ensure alignment with analytics engineering (dbt, metric stores, semantic tools)
Master Data & Governance Architecture
Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns
Partner with governance teams to operationalize policies through technology
Integrate metadata, lineage, and governance workflows into the architecture
Data Integration & Platform Architecture
Define ingestion, transformation, and consumption patterns across batch, streaming, and API‑based pipelines
Architect cloud data platforms (Azure/AWS/GCP) including lakehouse, warehouse, and real‑time components
Metadata, Catalog, and Lineage Architecture
Ensure scalability, performance, security, and cost optimization
Design metadata ingestion patterns and lineage frameworks across pipelines, BI tools, and MDM systems
Implement enterprise cataloging solutions using platforms such as Collibra, Atlan, Alation, or similar
Ensure metadata is complete, accurate, and actionable for governance and engineering teams
Hands‑On Technical Execution
Build and validate architectural prototypes, POCs, and reference implementations
Write SQL, design schemas, build lineage connectors, and define transformation logic
Troubleshoot complex data architecture issues across pipelines, models, and platforms
Cross‑Functional Leadership
Partner with data engineering, analytics, MDM, governance, product, and application teams
Provide architectural guidance, code reviews, and technical mentorship
Communicate architectural decisions to executives, engineers, and business stakeholders YOU MUST HAVE
8+ years of experience in data architecture, data engineering, or enterprise architecture
Deep hands‑on experience with cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)
Strong expertise in data modeling (dimensional, relational, canonical, semantic)
Experience architecting MDM and governance solutions using Collibra, Reltio, Atlan, Informatica, or similar
Strong SQL, data pipeline design, and metadata/lineage engineering skills
Experience with modern data stack tools (dbt, Spark, Kafka, Airflow, etc.)
Ability to translate business needs into scalable architectural designs
Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK)
Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers)
Experience with API‑driven architectures and event‑driven patterns
Familiarity with data products and data mesh concepts
Adoption of standardized data models and architectural patterns across the enterprise
Reduction in data duplication, inconsistencies, and integration complexity
High‑quality, governed, discoverable data powering analytics and AI
Scalable, cost‑efficient cloud data platform performance
Strong alignment between business, engineering, and governance teams WE VALUE
Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK)
Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers)
Experience with API‑driven architectures and event‑driven patterns
Familiarity with data products and data mesh concepts
Success Measures
Adoption of standardized data models and architectural patterns across the enterprise
Reduction in data duplication, inconsistencies, and integration complexity
High‑quality, governed, discoverable data powering analytics and AI
Scalable, cost‑efficient cloud data platform performance
Strong alignment between business, engineering, and governance teams
#LI-FH1 #hybrid
Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions.
Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at
At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the \"EEO is the Law\" poster, \"EEO is the Law\" Supplement Poster and the Pay Transparency Nondiscrimination Provision. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.