Remote Senior Data Architect: AI-Driven Cloud Platform Leader

Truelogic

New York (NY)

Remote

MXN 2,235,000 - 3,352,000

Full time

6 days ago
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Benefits offered by this job

Remote work
USD pay
Paid time off
Autonomy
Top US clients

Job summary

Truelogic is seeking a Data Architect to lead the design of scalable data platforms, translating client requirements into technical strategies, and guiding engineering teams through implementation. The role combines architectural leadership, client advisory, and hands-on execution across cloud platforms, APIs, data pipelines, and AI/ML integration.

The ideal candidate brings strong Python and SQL skills, sound architectural judgment, and ability to align technical, executive, and creative

Qualifications

  • 7+ years in software or data engineering; 2+ years in architecture or design.
  • Cloud data platforms expertise with Snowflake/Databricks/BigQuery/Redshift.
  • Python and SQL proficiency for data processing.

Responsibilities

  • Lead solution design for data platforms and AI-enabled workflows.
  • Assess existing architectures and define future-state roadmaps.
  • Produce system diagrams, integration maps, and standards.
  • Mentor engineers on architectural decisions.
  • Lead discovery workshops with client stakeholders.
  • Evaluate cloud data platforms and third-party integrations.
  • Design distributed data pipelines and API-first ecosystems.
  • Connect marketing data sources to analytics and ML workloads.
  • Support pre-sales, RFPs, and executive solution presentations.

Skills

Python
SQL
Cloud data platforms
Architecture design
AI/ML integration
Stakeholder management
Governance & security

Tools

Snowflake
Databricks
BigQuery
Redshift

Job description

Truelogic is seeking a Data Architect to lead the design of scalable data platforms, translating client requirements into technical strategies, and guiding engineering teams through implementation. The role combines architectural leadership, client advisory, and hands-on execution across cloud platforms, APIs, data pipelines, and AI/ML integration.

The ideal candidate brings strong Python and SQL skills, sound architectural judgment, and ability to align technical, executive, and creative

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