Solutions Architect – LATAM

Solutions EngineerSolutions EngineerFull TimeRemoteLeadTeam 201-500Since 2014H1B SponsorCompany SiteLinkedIn

Location

Latin America

Posted

6 days ago

Salary

0

Seniority

Lead

Job Description

Solutions Architect – LATAM

phData

• Lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for managed services clients. • Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers. • Translate business and technical requirements into secure, scalable platform solutions. • Ensure engagements are delivered on time, within scope, and with measurable business value. • Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives. • Provide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning. • Ensure high quality in deliverables through robust architecture standards, documentation, testing, and governance. • Partner with practice and account leaders to manage multiple customer engagements simultaneously. • Contribute to the evolution of phData’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework. • Mentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting.

Job Requirements

  • 8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment.
  • Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting.
  • Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka.
  • Proven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement.
  • Advanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries.
  • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines and tooling (e.g., Bitbucket, GitHub).
  • Hands-on experience with data integration and ingestion tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.
  • Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
  • Ability to describe specific engineering tasks completed with AI assistance.
  • Strong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation.
  • Experience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations.
  • Ability to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals.
  • Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
  • Demonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction.
  • Proven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems.
  • Experience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Benefits

  • Remote-First Work Environment
  • Casual, award-winning small-business work environment
  • Collaborative culture that prizes autonomy, creativity, and transparency
  • Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
  • Accelerated learning and professional development through advanced training and certifications

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