

Data Solution Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Solution Architect in San Diego, CA, for 12 months at a pay rate of "unknown". Requires 15+ years in data architecture, expertise in cloud platforms, AI/ML data enablement, and strong leadership skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 23, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Diego, CA
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π§ - Skills detailed
#Data Strategy #Data Quality #Data Management #AI (Artificial Intelligence) #Data Pipeline #Data Engineering #Datasets #Snowflake #Cloud #Azure #PyTorch #SQL (Structured Query Language) #TensorFlow #Data Lake #Leadership #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Python #Monitoring #Deployment #Strategy #Databricks #Data Architecture #Kafka (Apache Kafka) #ML (Machine Learning) #Delta Lake #Metadata #Data Orchestration #Scala #Migration #Data Warehouse #Data Governance #MLflow
Role description
Hello
We are actively looking for a Data Solution Architect β Enterprise Data Strategy & Modernization. If you or your consultant are actively looking for a new job please share your profile.
Job Title: Data Solution Architect β Enterprise Data Strategy & Modernization
Location: San Diego, CA (4 days a week onsite)
Experience Level: Senior (15+ years)
Duration : 12 Months
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
β’ Enterprise Data Strategy & Architecture
β’ Define and execute enterprise-wide data strategy aligned with business objectives.
β’ Architect scalable, secure, and high-performance data platforms across cloud and hybrid environments.
β’ Establish data governance, metadata management, and data quality frameworks.
β’ Data Modernization & Transformation
β’ Lead modernization efforts including migration from legacy systems to cloud-native data platforms (e.g., Azure, AWS, GCP).
β’ Design and implement data lakes, data warehouses, and real-time streaming architectures.
β’ Drive adoption of modern data technologies such as Delta Lake, Snowflake, Databricks, Kafka, etc.
β’ AI & Advanced Analytics Enablement
β’ Collaborate with AI/ML teams to ensure data architecture supports model training, deployment, and monitoring.
β’ Design data pipelines optimized for AI workloads, including feature stores and model-ready datasets.
β’ Provide hands-on support in integrating AI solutions into business processes.
β’ Stakeholder Engagement & Leadership
β’ Partner with business, engineering, and analytics teams to translate requirements into technical solutions.
β’ Mentor data engineers and architects, fostering a culture of innovation and excellence.
β’ Present architectural vision and roadmaps to executive leadership and technical teams.
Required Qualifications
β’ 15+ years of experience in data architecture, engineering, and strategy.
β’ Proven track record in executing enterprise data strategies and modernization programs.
β’ Experience with AI/ML data enablement and familiarity with tools like TensorFlow, PyTorch, MLflow, etc.
β’ Proficiency in SQL, Python, Spark, and data orchestration tools
β’ Excellent communication and leadership skills with ability to influence across levels.
Preferred Qualifications
β’ Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Data Engineer).
β’ Familiarity with data mesh, data fabric, and emerging architectural paradigms.
β’ Background in regulated industries manufacturing is a plus.
Thank You
Satti Reddy
Hello
We are actively looking for a Data Solution Architect β Enterprise Data Strategy & Modernization. If you or your consultant are actively looking for a new job please share your profile.
Job Title: Data Solution Architect β Enterprise Data Strategy & Modernization
Location: San Diego, CA (4 days a week onsite)
Experience Level: Senior (15+ years)
Duration : 12 Months
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
β’ Enterprise Data Strategy & Architecture
β’ Define and execute enterprise-wide data strategy aligned with business objectives.
β’ Architect scalable, secure, and high-performance data platforms across cloud and hybrid environments.
β’ Establish data governance, metadata management, and data quality frameworks.
β’ Data Modernization & Transformation
β’ Lead modernization efforts including migration from legacy systems to cloud-native data platforms (e.g., Azure, AWS, GCP).
β’ Design and implement data lakes, data warehouses, and real-time streaming architectures.
β’ Drive adoption of modern data technologies such as Delta Lake, Snowflake, Databricks, Kafka, etc.
β’ AI & Advanced Analytics Enablement
β’ Collaborate with AI/ML teams to ensure data architecture supports model training, deployment, and monitoring.
β’ Design data pipelines optimized for AI workloads, including feature stores and model-ready datasets.
β’ Provide hands-on support in integrating AI solutions into business processes.
β’ Stakeholder Engagement & Leadership
β’ Partner with business, engineering, and analytics teams to translate requirements into technical solutions.
β’ Mentor data engineers and architects, fostering a culture of innovation and excellence.
β’ Present architectural vision and roadmaps to executive leadership and technical teams.
Required Qualifications
β’ 15+ years of experience in data architecture, engineering, and strategy.
β’ Proven track record in executing enterprise data strategies and modernization programs.
β’ Experience with AI/ML data enablement and familiarity with tools like TensorFlow, PyTorch, MLflow, etc.
β’ Proficiency in SQL, Python, Spark, and data orchestration tools
β’ Excellent communication and leadership skills with ability to influence across levels.
Preferred Qualifications
β’ Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Data Engineer).
β’ Familiarity with data mesh, data fabric, and emerging architectural paradigms.
β’ Background in regulated industries manufacturing is a plus.
Thank You
Satti Reddy