Data Architect - W2 Contract

  • San Diego, CA
  • Posted 9 hours ago | Updated 9 hours ago

Overview

Hybrid
$60 - $80
Contract - W2

Skills

data architecture
AI/ML
SQL
Python
Spark

Job Details

We are seeking a visionary Data Solution Architect with 15+ years of experience to drive enterprise-wide data strategy, modernization, and the evolution of AI-driven capabilities. This senior-level role is pivotal in designing scalable, secure, and intelligent data solutions that align with business objectives and accelerate innovation across the enterprise.

Key Responsibilities

<>Enterprise Data Strategy & Architecture</>

  • Define and execute enterprise-wide data strategies aligned with business goals.

  • Architect scalable, secure, high-performance data platforms across cloud and hybrid environments.

  • Establish data governance, metadata management, and data quality frameworks.

<>Data Modernization & Transformation</>

  • Lead modernization initiatives, including migration from legacy systems to cloud-native platforms (Azure, AWS, Google Cloud Platform).

  • Design and implement data lakes, data warehouses, and real-time streaming architectures.

  • Drive adoption of modern data technologies such as Delta Lake, Snowflake, Databricks, Kafka, etc.

<>AI & Advanced Analytics Enablement</>

  • Collaborate with AI/ML teams to ensure data platforms support model training, deployment, and monitoring.

  • Design data pipelines optimized for AI workloads, including feature stores and model-ready datasets.

  • Provide hands-on support in integrating AI-driven solutions into enterprise processes.

<>Stakeholder Engagement & Leadership</>

  • Partner with business, engineering, and analytics teams to translate requirements into scalable solutions.

  • Mentor and guide data engineers/architects, fostering a culture of innovation and best practices.

  • Present architectural roadmaps and technical strategies to executive leadership and technical teams.

Required Qualifications

  • 15+ years of experience in data architecture, engineering, and strategy.

  • Proven track record executing enterprise data strategies and modernization programs.

  • Experience with AI/ML data enablement and tools such as TensorFlow, PyTorch, MLflow.

  • Proficiency in SQL, Python, Spark, and data orchestration tools.

  • Strong leadership and communication skills with the ability to influence at all organizational levels

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