Data Solutions Architect (Azure, AWS, AL/ML) || San Diego, CA

Data Solution Architect Enterprise Data Strategy & Modernization

Location: San Diego, CA ( 100% onsite. No Exceptions - 5 days a week onsite)

Experience Level: Senior (15+ year

Must have skills: Data Architect, Azure, AWS, AL/ML

Overview

We are seeking a visionary and technically adept Data Solution Architect with over 15 years of experience in the data domain to lead enterprise-wide data strategy, modernization initiatives, and support the evolution of AI-driven capabilities. This role is pivotal in shaping our customer data ecosystem, enabling scalable, secure, and intelligent data solutions that align with business goals and future innovation.

Key Responsibilities

• Enterprise Data Strategy & Architecture
  • Define and execute enterprise-wide data strategy aligned with business objectives.
  • Architect scalable, secure, and high-performance data platforms across cloud and hybrid environments.
  • Establish data governance, metadata management, and data quality frameworks.
• Data Modernization & Transformation
  • Lead modernization efforts including migration from legacy systems to cloud-native data platforms (e.g., 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 architecture supports 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 solutions into business processes.
• Stakeholder Engagement & Leadership
  • Partner with business, engineering, and analytics teams to translate requirements into technical solutions.
  • Mentor data engineers and architects, fostering a culture of innovation and excellence.
  • Present architectural vision and roadmaps to executive leadership and technical teams.

Required Qualifications

• 15+ years of experience in data architecture, engineering, and strategy.
• Proven track record in executing enterprise data strategies and modernization programs.
• Experience with AI/ML data enablement and familiarity with tools like TensorFlow, PyTorch, MLflow, etc.
• Proficiency in SQL, Python, Spark, and data orchestration tools
• Excellent communication and leadership skills with ability to influence across levels.

Preferred Qualifications

• Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Data Engineer).
• Familiarity with data mesh, data fabric, and emerging architectural paradigms.
• Background in regulated industries manufacturing is a plus.