Principal Solutions Architect - Data Engineering

phData; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-First Workplace

Medical Insurance for Self & Family

Wellness Allowance

Broadband Reimbursement

Certifications & Growth Support

Job summary

phData is a remote-first data and AI consultancy with teams across the US, LATAM, and India. We seek a Principal Solutions Architect to design end-to-end data solutions, lead a global team, and partner with major cloud platforms. Strong client-facing leadership and production-grade delivery are essential.

Ideal candidates have extensive experience with Snowflake, AWS, Azure, Databricks, and GCP, plus Python/Scala and solid SQL skills. Join a high-growth, ownership-driven environment.

Qualifications

• 15–20 years of experience in data/solutions architecture.
• 8+ years hands-on design and implementation.
• Strong Python and/or Scala; Java a plus.
• Deep experience with Snowflake, AWS, Azure, Databricks, or GCP.
• SQL proficiency and data transformation with dbt.

Responsibilities

• Lead and mentor a team of Solution Architects and Data Engineers.
• Partner with clients and technology partners to deliver end-to-end data solutions.
• Design production-grade data pipelines focusing on performance, security, and scalability.
• Create POCs, roadmaps, and detailed solution documents for delivery.
• Drive project delivery across distributed global teams.

Skills

Python

Scala

SQL

Cloud data platforms

Leadership

Client management

Education

Bachelor's in CS or related

Tools

dbt

Apache Airflow

AWS/Azure/GCP

Job description

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Principal Solutions Architect - Data Engineering

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms, including Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to deliver cutting-edge services and solutions. We’re committed to helping global enterprises overcome their toughest data challenges.

phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the cultures of our team members and foster a community of technological curiosity, ownership, and trust. Even though we’re growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

• 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
• Fivetran, dbt, Atlation, and AWS Partner of the Year
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
• Recognized as an award-winning workplace in the US, India, and LATAM

Recognized as an award-winning workplace in the US, India, and LATAM

Required Experience:

• 15-20 years of Experience with 8+ years as a hands-on Solutions Architect designing and implementing data solutions
• Consulting leadership experience working with external customers, with the ability to multitask, prioritize tasks, frequently change focus, and work across a variety of projects.
• Strong programming expertise in Python and/or Scala; Java experience is a plus
• Core cloud data platforms, including Snowflake, AWS, Azure, Databricks, or GCP
• SQL and the ability to write, debug, and optimize SQL queries
• Modern data transformation frameworks: dbt (data build tool) for ELT pipeline development, testing, and documentation within cloud data warehouses
• Demonstrated expertise in effectively leading and managing a team comprising Solution Architects and Data Engineers, fostering internal growth through coaching, mentoring, and performance management.
• Proven track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery team members across distributed global teams, ensuring seamless, successful project delivery outcomes.
• Create strong cross-practice relationships to drive customer success.
• Exhibits a strong sense of ownership in resolving challenges, committed to ensuring exceptional outcomes for all aspects of project execution.
• Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
• Client-facing written and verbal communication skills and experience
• Create and deliver detailed presentations
• Detailed solution documentation (e.g., including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
• 4-year Bachelor’s degree in Computer Science or a related field, or a Master’s in Computer Applications or equivalent.

Prefer any of the following:

• Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Databricks, legacy big data platforms such as Hadoop/HDFS
• Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
• Data integration technologies: Spark, Kafka, Apache Flink, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc, or other data integration technologies
• Multiple data sources: Experience designing multi-source integration patterns across structured, semi-structured, and unstructured data — including APIs, CDC/event streams, relational databases, NoSQL systems, and file-based sources
• Complete software development life cycle experience: including design, documentation, implementation, testing, and deployment
• Automated data transformation and data curation: Spark, Spark streaming, automated pipelines
• Data observability and quality frameworks: Experience with tools such as Great Expectations, Monte Carlo, or Acceldata; ability to embed data quality checks, lineage tracking, schema monitoring, and freshness alerting into pipeline design
• AI/ML Pipeline Readiness : Experience designing data pipelines and feature stores that support ML/AI workloads; familiarity with MLflow, AWS SageMaker, or Azure ML is a plus
• Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi
• Open table formats : Apache Iceberg, Delta Lake (Databricks), Apache Hudi
• Methodologies: Agile Project Management, Data Modeling (e.g., Kimball, Data Vault)

Why phData? We Offer:

• 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
• Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.