Solutions Architect - Retail

Ladders

United States

Remote

USD 180,000 - 248,000

Full time

8 hours ago
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Benefits offered by this job

Annual bonus eligibility
Equity options
Professional development support
Flexible work arrangements

Job summary

Ladders is seeking a Solutions Architect - Retail to join a client’s team, shaping scalable data and AI solutions for enterprise customers. You will partner with customer technical leaders to translate business needs into sound technical strategy and measurable outcomes, guiding from discovery through deployment.

This senior role requires hands-on leadership in data engineering and ML/AI architectures, strong coding in Python/SQL, and proven ability to drive technical wins with cross-functional

Qualifications

  • 6+ years in solutions architecture, data engineering, or a senior technical role.
  • Live coding experience in Python or similar languages.
  • Experience with distributed data systems and scalable pipelines.
  • Proficiency with a leading data/analytics platform and architectural specialization.
  • Ability to lead architecture discussions with senior stakeholders.
  • Experience deploying in AWS, Azure, or GCP; strong communication skills.

Responsibilities

  • Own the technical strategy for customer accounts from discovery to deployment.
  • Lead architecture discussions for scalable data/ML/AI solutions.
  • Serve as a trusted advisor to customer technical leads and architects.
  • Drive technical wins by showcasing company solutions and value.
  • Develop technical specialization and mentor teammates.
  • Coordinate cross-functional teams to deliver end-to-end solutions.
  • Influence product direction by translating customer needs into requirements.

Skills

Solutions architecture
Python
SQL
Distributed data systems
Cloud platforms
Leadership

Education

Bachelor's or Master's in CS/Engineering

Job description

For our client, we are seeking a Solutions Architect - Retail to join the team of a leader in the Enterprise Technology space. This role will partner closely with customer technical leaders, architects, and internal cross-functional teams to shape scalable data and AI solutions. The position is focused on guiding customers from discovery through deployment, translating business needs into sound technical strategy and measurable outcomes. You will serve as a trusted advisor, influence solution design decisions, and help drive technical wins through deep expertise in modern data architecture. Location: Remote. Compensation: $180,000 – $247,500 annually.

Responsibilities
  • Own the technical strategy for customer accounts from discovery to deployment
  • Lead architecture discussions for scalable solutions in data engineering and ML/AI
  • Serve as a trusted advisor to customer technical leads and architects
  • Drive technical wins by showcasing the company's unique solutions
  • Develop a technical specialization and become a resource for your team
  • Orchestrate cross-functional teams to deliver comprehensive solutions
  • Influence product direction by providing feedback on customer needs
Qualifications
  • 6+ years in solutions architecture, data engineering, or a senior technical role
  • Strong coding skills in Python and SQL, with live coding experience
  • Expertise in distributed data systems architecture and scalable pipelines
  • Proficient in a leading data and analytics platform with a specialization in a specific area
  • Proven ability to lead architecture discussions with senior stakeholders
  • Experience with public cloud deployments (AWS, Azure, GCP)
  • Excellent communication skills for translating technical concepts to business value
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Benefits
  • Comprehensive benefits and perks tailored to employee needs
  • Eligibility for annual performance bonuses
  • Equity options available
  • Support for professional development and certifications
  • Flexible work arrangements

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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