Principal Architect

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Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalities that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

We are seeking a visionary Azure Architect with deep expertise in the Databricks ecosystem and emerging Agentic AI technologies. This role involves designing and implementing scalable data and AI platforms, integrating intelligent agents, and driving innovation across enterprise data landscapes.

Key Responsibilities

Architect and lead implementation of scalable data platforms using Azure and Databricks Lakehouse.

Design modular, reusable pipelines across ETL, ML, MLOps, and GenAI lifecycles.

Integrate Agentic AI systems, including autonomous agents, Retrieval-Augmented Generation (RAG), vector stores, and tool‑chaining agents.

Define and manage metadata store architecture to support LLM agents with lineage and discoverability.

Collaborate with engineering teams to embed metadata‑driven intelligence into agent behavior.

Establish data governance and compliance frameworks for human‑in‑the‑loop validation and auditability.

Review and guide BRD, HLD, LLD, and code artifacts to ensure alignment with best practices.

Configure and troubleshoot Databricks SDKs, Notebooks, Azure Synapse workflows, and related environments.

Lead integration of Databricks with other Azure services and enterprise platforms.

Mentor teams and promote best practices in data architecture and AI‑driven automation.

Technical Skills

12–16 years of experience in enterprise data platforms, with 3–5 years as a Databricks Architect.

Hands‑on experience with PySpark, Delta Lake, MLFlow, Unity Catalog, and Databricks Workflows.

Strong background in AI / ML, including Generative AI, LLMs, and Agentic AI systems.

Familiarity with data mesh, medallion architecture, and governance frameworks.

Proficiency in Azure DevOps, Python, and Databricks SQL.

Preferred Qualifications

Experience with Mosaic AI, Delta Live Tables, and AI / BI workflows.

Knowledge of real‑time data processing using Kafka and Azure Data Lake Store.

Certifications in Azure Solutions Architect, Databricks, or AI / ML technologies.

Strong communication and leadership skills to work with cross‑functional teams.

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. A reasonable estimate of the current range is :

$140,000 - $220,000 . In addition, for the current performance period, you may be eligible for a discretionary bonus.

Benefits

As a full‑time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Equal Employment Opportunity Statement

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Business Consulting and Services

Location

San Jose, CA

Additional Information

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