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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.
- 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.
- 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.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Software Development
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