About the Company
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
About the Role
We are looking for a Principal Solutions Architect to join our Managed Services – Elastic Platform Operations (EPO) team. In this role, you will serve as a hands-on senior technical leader, owning the design, delivery, and continuous evolution of large-scale, cloud-native data platforms for global enterprise clients. You will collaborate closely with clients, engineering teams, and practice leadership to translate complex business requirements into scalable, high-performing data solutions—while driving delivery excellence and advancing phData's managed services capabilities.
Responsibilities
- Own and drive the design, provisioning, and operationalization of cloud-native data solutions on AWS and Azure, leveraging platforms such as Snowflake, Fivetran, dbt, Matillion, Azure Data Factory, and other modern data stack technologies.
- Translate client business requirements into scalable, secure, and performant data platform architectures aligned with phData methodologies and best practices.
- Ensure client engagements are delivered on time, within scope, and with measurable business value—managing multiple simultaneous customer accounts across a variety of technical stacks.
- Skillfully navigate complex customer environments by building and prioritizing Epics, Stories, and Tasks to mature and improve clients data platforms.
- Continually identify opportunities to automate, optimize, and expand clients data platform capabilities and phData's service offering.
- Lead technical teams operating and managing modern data platforms—spanning streaming, data lakes, analytics, and beyond—across a progressively evolving technical stack.
- Provide technical thought leadership during client workshops, architecture reviews, and discovery sessions, recommending the right technologies and approaches to ensure performance, security, scalability, and user satisfaction.
- Ensure high quality in all deliverables through code reviews, documentation, governance, and performance tuning.
- Partner with practice and account leaders to identify opportunities to expand engagements and standardize delivery patterns.
- Contribute to internal initiatives including IP development, accelerators, delivery frameworks, and technical playbooks.
- Represent phData with professionalism in all client interactions, communicating clearly and effectively with both technical and non-technical stakeholders, including executive audiences.
- Additional Responsibilities (Principal Roles)
- Act as a trusted advisor to senior client stakeholders, shaping data platform roadmaps, influencing strategic decisions, and guiding long-term initiatives.
- Mentor and coach engineers on the team, delegating effectively and fostering a culture of learning, feedback, and continuous improvement.
- Help define and refine practice standards, reusable assets, and delivery frameworks to scale phData's managed services capability.
- Lead detailed technical presentations and architecture recommendations for executive-level audiences.
Qualifications & Required Skills
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 15+ years of total professional experience, including a minimum of 8+ years of relevant experience in data platform engineering, architecture, or managed services, with significant hands-on experience in enterprise cloud environments.
- Advanced expertise in enterprise cloud data platforms, including Snowflake, AWS, Azure, and/or Databricks.
- Extensive experience providing architectural and operational guidance for cloud-native data warehouses (Snowflake and/or Redshift) across large user bases.
- Production experience with cloud and distributed data storage technologies such as S3, ADLS, Cassandra, or other NoSQL storage systems.
- Production experience with data integration technologies such as Spark, Kafka, event/streaming pipelines, Matillion, Fivetran, HVR, AWS Data Migration Services, Azure Data Factory, or equivalent.
- Production experience with workflow management and orchestration tools such as 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.
