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Data Solution Architect Enterprise Data Strategy & Modernization

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Data Solution Architect Enterprise Data Strategy & Modernization

Data Solution Architect Enterprise Data Strategy & Modernization

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Advent Global Solutions, Inc., is seeking the following. Apply via Dice today!
Data Solution Architect Enterprise Data Strategy & Modernization
Location: San Diego, CA ( 100% onsite. No Exceptions - 5 days a week onsite)
Duration: 6 Months+
Tax Term: W2
Experience Level: Senior (15+ years)
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.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

  • Industries

    Software Development

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