Jobs via Dice
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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development #J-18808-Ljbffr
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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development #J-18808-Ljbffr