Lead Enterprise Data Architect

ESA - Electronic Security Association

Lead Enterprise Data Architect building and owning foundational data management capabilities at a technology-driven company. Enhancing data architecture for AI and operational use with strategic leadership and technical expertise.

Posted 4/22/2026full-timeCharlotte • North Carolina • 🇺🇸 United StatesSenior💰 $133,263 - $198,821 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformInformaticaKafkaSparkSQL

About the role

Key responsibilities & impact

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
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
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
Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns
Partner with governance teams to operationalize policies through technology
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
Ensure scalability, performance, security, and cost optimization
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
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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Resideo provides comprehensive benefits, including life and health insurance
life assistance program
accidental death and dismemberment insurance
disability insurance
401k Plan
vacation & holidays.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata engineeringenterprise architecturedata modelingSQLdata pipeline designmetadata engineeringcloud data platformsAPI-driven architecturesevent-driven patterns

Soft Skills

architectural guidancetechnical mentorshipcommunication

Certifications

TOGAFDAMA-DMBOK