1 month ago

Principal Data Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead enterprise data platform architecture and data strategy to enable scalable AI/ML, telemetry analytics, and business intelligence solutions. Own end-to-end data ecosystems from ingestion to insights, translating business priorities into AI-ready data strategy and partnering with Data Science and AI teams to design future-ready data platforms.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design enterprise data architecture and platform strategies that enable scalable analytics and AI/ML use cases.
•Lead data strategy, transformation, governance, and monetization efforts aligning with business goals.
•Partner with Data Science/AI teams to productionize models and secure data pipelines for AI readiness.
•Define and implement enterprise-grade data architectures (batch/streaming) and governance frameworks across the organization.
•Influence cross-functional stakeholders and architecture boards, promoting data-driven decision making.

Pay and Benefits

Salary: USD 147,050 - 230,850 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionDisability InsuranceEmployee AssistanceFlexible SpendingLife InsuranceParental LeavePaid HolidaysPaid Leave

Key Requirements

•Design enterprise-wide data architectures (batch, streaming, real-time) for large-scale structured and unstructured data.
•Develop and enforce data standards, governance, and interoperability rules across platforms.
•Lead the design of data warehouses and data lakes that meet quality business requirements and enable downstream insights.
•Architect scalable, secure, high-performance data platforms to support BI, analytics, and AI/ML use cases.
•Collaborate with Data Science/AI teams to productionize ML models and industrialize data pipelines and MLOps workflows.

Experience:Data engineeringAIMLBig data

Skills:PythonSQLScalaJavaKafkaSparkAWSAzureData WarehousingData LakesETLMLOps

Languages:English

Tech Stack:PythonSQLScalaJavaKafkaSparkAWSAzureData WarehousingData LakesETLMLOps

Company Brief

Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.

Industry: Hardware Devices

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Palo Alto, United States

Founded: 1939

Glassdoor: 3.8

Website LinkedIn

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