Principal Solution Architect – Managed Services

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phData

WebsiteLinkedInAll Job Openings

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

• Own and drive the design, provisioning, and operationalization of cloud-native data solutions on AWS and Azure using modern data stack technologies • Translate client business requirements into scalable, secure, and performant data platform architectures • Deliver client engagements on time, within scope, and with measurable business value across multiple customer accounts • Build and prioritize Epics, Stories, and Tasks to mature client data platforms • Identify opportunities to automate, optimize, and expand data platform capabilities and service offerings • Lead teams operating modern data platforms spanning streaming, data lakes, analytics, and related technologies • Provide technical leadership in client workshops, architecture reviews, and discovery sessions • Ensure deliverable quality through code reviews, documentation, governance, and performance tuning • Partner with practice and account leaders to expand engagements and standardize delivery patterns • Contribute to IP development, accelerators, delivery frameworks, and technical playbooks • Advise senior client stakeholders on data platform roadmaps and strategic decisions • Mentor and coach engineers, delegate effectively, and foster continuous improvement • Define and refine practice standards, reusable assets, and delivery frameworks • Lead technical presentations and architecture recommendations for executive audiences

🎯 Requirements

• 10+ years of experience in data platform engineering, architecture, or managed services, with significant hands-on enterprise cloud experience • Advanced expertise in Snowflake, AWS, Azure, and/or Databricks • Extensive experience architecting and operating cloud-native data warehouses such as Snowflake and/or Redshift across large user bases • Production experience with S3, ADLS, Cassandra, or other NoSQL storage systems • Production experience with Spark, Kafka, event/streaming pipelines, Matillion, Fivetran, HVR, AWS Data Migration Services, Azure Data Factory, or equivalent • Production experience with Airflow, AWS Managed Airflow, or Luigi • Strong proficiency in SQL, including writing, debugging, and optimizing complex queries • Extensive experience with infrastructure as code using Terraform or CloudFormation • Experience automating repetitive administrative tasks using Python or a similar language • Proficiency with CI/CD frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase • Exceptional troubleshooting and performance tuning skills across complex, multi-stack environments • Demonstrated experience delivering projects for external clients in a professional services or consulting environment • Ability to break down complex problems into structured, actionable steps and drive resolution • Strong written and verbal communication skills in English, including detailed technical presentations for executive audiences • Proven experience as a technical team lead and mentor • Demonstrated ability to work across distributed, cross-functional global teams • Proven ability to manage multiple priorities and deliver high-quality outcomes with minimal supervision • Professional track record of creating, challenging, and improving processes and procedures • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience (listed under 'Education – If desired') • Snowflake SnowPro Core Certification or Snowflake Advanced Certification preferred • Experience with data visualization tools and data science or machine learning platform operations preferred • Experience across multiple industry verticals in managed services or platform operations preferred • Prior experience working in global or remote teams preferred

🏖️ Benefits

• Remote-First Workplace • Medical Insurance for Self & Family • Medical Insurance for Parents • Term Life & Personal Accident • Wellness Allowance • Broadband Reimbursement • Continuous learning and growth opportunities to enhance your skills and expertise • Paid certifications • Professional development allowance • Bonuses for creating company-approved content • Access to challenging projects, mentorship, and structured development pathways