Data Product Architect

Vanguard Group, Inc.

$120K — $145K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of five years of relevant experience, including two years in development.
  • Bachelor's degree or equivalent training and experience.
  • Proven experience architecting cloud-based data platforms on AWS.
  • Proficient in programming and data engineering with Python, SQL, and PySpark.
  • Experience in building large-scale data pipelines and distributed processing solutions.
  • Knowledge of contemporary data architecture patterns and data modeling.
  • Ability to collaborate with business stakeholders and convert needs into technical solutions.

Responsibilities

  • Lead design and evolution of enterprise data products aligned with business strategy.
  • Work with stakeholders to highlight challenges and convert requirements into solutions.
  • Design cloud-native data architectures utilizing AWS and modern engineering practices.
  • Provide technical direction throughout the software development lifecycle to guide engineering teams.
  • Collaborate to ensure solutions adhere to enterprise architecture standards.
  • Develop and optimize data integration solutions and pipelines for analytics purposes.
  • Assess technologies and vendor solutions to enhance product capabilities.

Benefits

  • Opportunity for professional growth and development.
  • Access to modern tools and frameworks for cloud architecture.
  • Work in a collaborative environment with strong emphasis on mentorship.
  • Engagement with cutting-edge technologies in data engineering.
Full Job Description

Responsibilities

  • Lead the architecture, design, and evolution of enterprise data products and platforms aligned with business priorities and technology strategy.

  • Partner closely with business stakeholders to understand challenges, identify opportunities, and translate requirements into scalable technical solutions.

  • Design and implement cloud-native data architectures leveraging AWS services and modern data engineering practices.

  • Provide technical leadership across the software development lifecycle, guiding engineering teams on architecture, design patterns, and solution implementation.

  • Collaborate with architects, product teams, and technology partners to ensure alignment with enterprise architecture standards and roadmaps.

  • Develop and optimize data pipelines, data integration solutions, and data platforms that support analytics and operational use cases.

  • Evaluate technologies, tools, and vendor solutions to support future product capabilities.

  • Support architecture governance processes and contribute to technology standards and best practices.

  • Mentor engineers and foster technical excellence across the team.

  • Drive delivery outcomes by balancing business needs, technical feasibility, scalability, and long-term sustainability.

Qualifications

  • Minimum of five years related work experience, with at least two years of development experience.

  • Undergraduate degree or equivalent combination of training and experience.

  • Experience architecting and building cloud-based data platforms using AWS.

  • Strong programming and data engineering experience with Python, SQL, and PySpark.

  • Experience designing and supporting large-scale data pipelines and distributed data processing solutions.

  • Knowledge of modern data architecture patterns, data modeling, and enterprise data ecosystems.

  • Experience partnering with business stakeholders and translating business requirements into technical solutions.

  • Strong communication, collaboration, and stakeholder management skills.

Preferred Qualifications

  • Experience with data visualization and analytics platforms such as Tableau, Power BI, or Amazon QuickSight.

  • Experience providing technical leadership, mentorship, and architectural guidance to engineering teams.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

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