Principal Data Architect - AI-Ready Data Platforms (Hybrid)

Jobgether; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Hybrid work environment

401(k) contribution

Tuition reimbursement

Professional development allowance

Transportation allowance and parking

Job summary

Jobgether seeks a seasoned Enterprise Data Architect to define and evolve the organization’s data architecture, models, and standards to support analytics, operations, and AI initiatives. You will guide cloud data platforms and data products, partnering with teams across product, engineering, and data science to deliver scalable, trusted data assets.

You will lead the design of data ingestion, transformation, and governance while ensuring secure access to sensitive information and compliance

Qualifications

• 12+ years in data architecture or related tech discipline.
• Experience designing modern cloud data platforms and complex integration architectures.
• Strong knowledge of data modeling (dimensional/relational) and data pipelines.
• Proficient with Snowflake, Databricks, Kafka or equivalent streaming tech, and dbt.
• Strong data governance, metadata management, lineage, privacy, and security.
• Experience architecting data platforms for analytics, operations, and AI/ML use cases.

Responsibilities

• Define and evolve enterprise data architecture, models, integration patterns, standards, and roadmaps.
• Design scalable cloud data platforms, including lakehouse and data warehouse architectures.
• Establish canonical data models and shared business entities for consistent data exchange.
• Develop architecture patterns for ingestion, transformation, orchestration, batch/streaming processing, metadata, lineage, quality, and observability.
• Enable interoperable data products and APIs for applications, analytics, and AI systems.
• Guide integration of healthcare, insurance, employee benefits, claims, eligibility, and provider data.
• Ensure secure, governed access to sensitive information, addressing HIPAA and privacy rules.
• Build AI-ready data foundations supporting ML, generative AI, and intelligent automation.
• Collaborate with product, engineering, analytics, and data science to deliver reusable data products and trusted metrics.
• Advise senior stakeholders; influence architecture decisions; align teams around principles.
• Mentor senior engineers and data architects; promote technical excellence and accountability.

Skills

Enterprise data architecture

Data modeling

Cloud data platforms

Snowflake

Databricks

Kafka

dbt

Data governance

HIPAA security

Stakeholder communication

Leadership / mentoring

Tools

Snowflake

Databricks

Kafka

dbt

Job description

Jobgether seeks a seasoned Enterprise Data Architect to define and evolve the organization’s data architecture, models, and standards to support analytics, operations, and AI initiatives. You will guide cloud data platforms and data products, partnering with teams across product, engineering, and data science to deliver scalable, trusted data assets.

You will lead the design of data ingestion, transformation, and governance while ensuring secure access to sensitive information and compliance