Senior Data Architect - Long Beach, CA

Hydrafacial LLC

United States

Hybrid

USD 121,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
FSAs
HSAs
Retirement plan
PTO
Paid holidays

Job summary

Hydrafacial is seeking a Sr Data Architect to own architectural standards, data models, and governance for SkinHealth analytics, spanning Snowflake, dbt, Power BI, and ERP/CRM systems. You will guide data ingestion, transformation, storage, and consumption across the organization, aligning initiatives with the long‑term platform strategy.

The role emphasizes enterprise data modeling, metadata governance, and scalable design patterns, with a hybrid work arrangement and opportunities to shape

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
  • 7+ years in data architecture, data engineering, or enterprise data platforms.
  • Strong experience designing enterprise-scale data platforms and analytics architectures.
  • Deep expertise in data modeling: conceptual, logical, and dimensional.
  • Hands-on experience with cloud data platforms; Snowflake preferred, AWS/Azure/GCP acceptable.
  • Knowledge of modern data transformation tools like dbt.
  • Experience designing data integration patterns across multiple enterprise systems.
  • Experience with BI semantic layers such as Power BI datasets.
  • Strong governance, metadata, and data lineage principles.
  • Familiarity with DevOps concepts for data platforms.
  • Architecture certifications such as TOGAF (preferred).
  • Experience with ERP/CRM systems (e.g., SAP, Oracle, Salesforce).
  • Experience in global or multi-entity environments.

Responsibilities

  • Define and maintain the enterprise data architecture blueprint across domains.
  • Establish and govern architecture standards for Snowflake, dbt, and integration layers.
  • Design scalable patterns for analytics, reporting, and BI consumption.
  • Lead enterprise data platform roadmap and align with business growth.
  • Define enterprise data models and canonical definitions for key entities.
  • Standardize dimensional modeling (facts, dimensions, data marts).
  • Define integration architecture across ERP, CRM, SaaS, APIs, and internal apps.
  • Architect batch and near real-time ingestion and transformation with Snowflake/dbt.
  • Ensure BI semantic layers align with enterprise models and metrics.
  • Provide governance through metadata, lineage, quality frameworks.

Skills

Data architecture
Data modeling
Snowflake
dbt
Power BI
Data governance
Cloud platforms
ETL/ELT design
BI governance

Education

Bachelor's degree
Master's degree (preferred)

Tools

dbt
Power BI
Snowflake
AWS
Azure
GCP

Job description

About Us

Hydrafacial is a global category‑creating company focused on bringing innovative products to market and delivering beauty health experiences by reinventing our consumer’s relationship with their skin, their bodies and their self-confidence. Every person here is a key player in our success.

Job Description

WHY THIS ROLE MATTERS SkinHealth Systems’ analytics and data platform spans Snowflake, dbt, Power BI, and multiple ERP, CRM, and SaaS source systems — and the Sr Data Architect is the enterprise owner of the architectural standards, data models, and governance frameworks that make that ecosystem coherent, scalable, and trustworthy. This role defines how data is ingested, transformed, stored, and consumed across the organization, providing architectural leadership to data engineering, BI, and business systems teams to ensure every major data initiative aligns with long‑term platform strategy.

Responsibilities
  • Define and maintain the enterprise data architecture blueprint across operational and analytical domains, ensuring alignment between business strategy, data capabilities, and technology platforms.
  • Establish and govern architecture standards for modern data platforms including Snowflake, dbt, and associated integration layers — ensuring consistency in how data is ingested, transformed, stored, and consumed.
  • Design scalable, reusable architecture patterns that support analytics, reporting, and BI consumption, optimized for performance, maintainability, and enterprise‑wide reuse.
  • Lead the development of the enterprise data platform roadmap, translating business growth, modernization initiatives, and emerging analytics requirements into a coherent architectural evolution strategy.
  • Define enterprise‑wide conceptual, logical, and dimensional data models across key business domains, ensuring consistency in how data entities, relationships, and metrics are structured across systems.
  • Establish canonical definitions for critical business entities and metrics, ensuring a single source of truth for reporting, analytics, and decision‑making across all functional areas.
  • Design and standardize dimensional modeling approaches — facts, dimensions, and data marts — that support both operational reporting and advanced analytics use cases.
  • Define integration architecture patterns across ERP, CRM, SaaS, APIs, and internal applications, ensuring data is reliably and securely ingested and made available across operational and analytical environments.
  • Architect batch and near real‑time data ingestion frameworks; define best practices for transformation architecture within Snowflake and dbt.
  • Establish architectural standards for BI semantic layers, ensuring alignment between enterprise data models and Power BI consumption layers while standardizing metric definitions and calculation logic.
  • Own enterprise data governance architecture including metadata management, data lineage, quality frameworks, and compliance alignment.
  • Provide architectural leadership through design reviews, technical guidance, and mentorship across data engineering, BI, and business systems teams.
  • Develop and maintain enterprise architecture documentation, reference models, and standardized design patterns; lead architecture review processes for all major data initiatives.
  • Perform other duties as assigned.
Qualifications
  • Required: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 7+ years of experience in data architecture, data engineering, or enterprise data platform roles.
  • Strong experience designing enterprise‑scale data platforms and analytics architectures.
  • Deep expertise in data modeling including conceptual, logical, and dimensional approaches.
  • Hands‑on experience with cloud data platforms — Snowflake strongly preferred; AWS, Azure, or GCP acceptable.
  • Strong understanding of modern data transformation tools such as dbt or equivalent.
  • Experience designing data integration patterns across multiple enterprise systems.
  • Experience working with BI semantic layers such as Power BI datasets or similar.
  • Strong knowledge of data governance, metadata, and data lineage principles.
  • Flexible hybrid work arrangement.
  • Preferred: Master’s degree in a related field.
  • Experience architecting modern cloud data stacks combining Snowflake, dbt, and BI tooling.
  • Exposure to enterprise ERP and CRM systems such as SAP, Oracle, Salesforce, or NetSuite.
  • Experience in global or multi‑entity enterprise environments.
  • Familiarity with DevOps concepts applied to data platforms.
  • Architecture certifications such as TOGAF or equivalent.
  • Experience supporting AI/ML or advanced analytics platforms.
Physical Requirements

Primarily office‑based role with extended periods of sedentary computer work. Standard mobility required for architecture reviews, cross‑functional meetings, and stakeholder presentations. Work arrangement: Hybrid (2 days per week in office). Flexible hybrid work arrangement.

Pay

Base Pay: $121,000 - $140,000 + Bonus. The range reflects factors such as education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue‑based metrics, corporate agreements, and other needs.

Benefits
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • FSAs
  • HSAs
  • Accident insurance
  • Pet insurance
  • Company‑paid life and AD&D insurance
  • Company‑paid long‑term and short‑term disability insurance
  • 401(k) with employer match
  • Paid time off (PTO)
  • Paid holidays
EEO Statement

Hydrafacial is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, gender identity, gender expression, age, disability, genetic information, pregnancy or any other protected characteristic as outlined by color, federal, state or local laws. We are committed to working with and providing accommodation to applicants with physical and mental disabilities.

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