Solutions Architect – LATAM

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Logo of phData

phData

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• 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.

🎯 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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